langchain

Commit Graph

Author	SHA1	Message	Date
Harrison Chase	e46126eac6	add llamaapi (#8140 )	1 year ago
Harrison Chase	cbf2fc8af8	prompt ergonomics (#7799 )	1 year ago
Karthik Raja A	8b08687fc4	MultiOn client toolkit (#8110 ) Addition of MultiOn Client Agent Toolkit Dependencies: multion pip package This PR consists of the following: - MultiOn utility,tools and integration with agent - sample jupyter notebook. Request @hwchase17 , @hinthornw --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	aa0e69bc98	Harrison/official pre release (#8106 )	1 year ago
Bagatur	58f65fcf12	use top nav docs (#8090 )	1 year ago
Lance Martin	5a084e1b20	Async HTML loader and HTML2Text transformer (#8036 ) New HTML loader that asynchronously loader a list of urls. New transformer using [HTML2Text](https://github.com/Alir3z4/html2text/) for HTML to clean, easy-to-read plain ASCII text (valid Markdown).	1 year ago
Wey Gu	cf60cff1ef	feat: Add with_history option for chatglm (#8048 ) In certain 0-shot scenarios, the existing stateful language model can unintentionally send/accumulate the .history. This commit adds the "with_history" option to chatglm, allowing users to control the behavior of .history and prevent unintended accumulation. Possible reviewers @hwchase17 @baskaryan @mlot Refer to discussion over this thread: https://twitter.com/wey_gu/status/1681996149543276545?s=20	1 year ago
Harrison Chase	1f3b987860	Harrison/GitHub toolkit (#8047 ) Co-authored-by: Trevor Dobbertin <trevordobbertin@gmail.com>	1 year ago
Harrison Chase	f99f497b2c	Harrison/predibase (#8046 ) Co-authored-by: Abhay Malik <32989166+Abhay-765@users.noreply.github.com>	1 year ago
Jacob Lee	56c6ab1715	Fix bad docs sidebar header (#7966 ) Quick fix for: <img width="283" alt="Screenshot 2023-07-19 at 2 49 44 PM" src="https://github.com/hwchase17/langchain/assets/6952323/91e4868c-b75e-413d-9f8f-d34762abf164"> CC @baskaryan	1 year ago
Kacper Łukawski	ed6a5532ac	Implement async support in Qdrant local mode (#8001 ) I've extended the support of async API to local Qdrant mode. It is faked but allows prototyping without spinning a container. The tests are improved to test the in-memory case as well. @baskaryan @rlancemartin @eyurtsev @agola11	1 year ago
Taqi Jaffri	973593c5c7	Added streaming support to Replicate (#8045 ) Streaming support is useful if you are doing long-running completions or need interactivity e.g. for chat... adding it to replicate, using a similar pattern to other LLMs that support streaming. Housekeeping: I ran `make format` and `make lint`, no issues reported in the files I touched. I did update the replicate integration test but ran into some issues, specifically: 1. The original test was failing for me due to the model argument not being specified... perhaps this test is not regularly run? I fixed it by adding a call to the lightweight hello world model which should not be burdensome for replicate infra. 2. I couldn't get the `make integration_tests` command to pass... a lot of failures in other integration tests due to missing dependencies... however I did make sure the particluar test file I updated does pass, by running `poetry run pytest tests/integration_tests/llms/test_replicate.py` Finally, I am @tjaffri https://twitter.com/tjaffri for feature announcement tweets... or if you could please tag @docugami https://twitter.com/docugami we would really appreciate that :-) Tagging model maintainers @hwchase17 @baskaryan Thank for all the awesome work you folks are doing. --------- Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>	1 year ago
Piyush Jain	31b7ddc12c	Neptune graph and openCypher QA Chain (#8035 ) ## Description This PR adds a graph class and an openCypher QA chain to work with the Amazon Neptune database. ## Dependencies `requests` which is included in the LangChain dependencies. ## Maintainers for Review @krlawrence @baskaryan ### Twitter handle pjain7	1 year ago
Emory Petermann	7239d57a53	Update Golden integration documentation (#8030 ) fixes some typos and cleans up onboarding for golden, thank you! @hinthornw	1 year ago
Jonathon Belotti	021bb9be84	Update Modal.com integration docs (#8014 ) Hey, I'm a Modal Labs engineer and I'm making this docs update after getting a user question in [our beta Slack space](https://join.slack.com/t/modalbetatesters/shared_invite/zt-1xl9gbob8-1QDgUY7_PRPg6dQ49hqEeQ) about the Langchain integration docs. 🔗 [Modal beta-testers link to docs discussion thread](https://modalbetatesters.slack.com/archives/C031Z7DBQFL/p1689777700594819?thread_ts=1689775859.855849&cid=C031Z7DBQFL)	1 year ago
Jeffrey Wang	62d0475c29	Add Metaphor new field and reformat docs (#8022 ) This PR reformats our python notebook example and also adds a new field we have. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	1 year ago
vrushankportkey	5f10d2ea1d	Add Portkey LLMOps integration (#7877 ) Integrating Portkey, which adds production features like caching, tracing, tagging, retries, etc. to langchain apps. - Dependencies: None - Twitter handle: https://twitter.com/portkeyai - test_portkey.py added for tests - example notebook added in new utilities folder in modules Also fixed a bug with OpenAIEmbeddings where headers weren't passing. cc @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Dwai Banerjee	d8c40253c3	Adding endpoint_url to embeddings/bedrock.py and updated docs (#7927 ) BedrockEmbeddings does not have endpoint_url so that switching to custom endpoint is not possible. I have access to Bedrock custom endpoint and cannot use BedrockEmbeddings --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Constantin Musca	d593833e4d	Add Golden Query Tool (#7930 ) Description: Golden Query is a wrapper on top of the [Golden Query API](https://docs.golden.com/reference/query-api) which enables programmatic access to query results on entities across Golden's Knowledge Base. For more information about Golden API, please see the [Golden API Getting Started](https://docs.golden.com/reference/getting-started) page. Issue: None Dependencies: requests(already present in project) Tag maintainer: @hinthornw Signed-off-by: Constantin Musca <constantin.musca@gmail.com>	1 year ago
Santiago Delgado	c416dbe8e0	Amadeus Flight and Travel Search Tool (#7890 ) ## Background With the addition on email and calendar tools, LangChain is continuing to complete its functionality to automate business processes. ## Challenge One of the pieces of business functionality that LangChain currently doesn't have is the ability to search for flights and travel in order to book business travel. ## Changes This PR implements an integration with the [Amadeus](https://developers.amadeus.com/) travel search API for LangChain, enabling seamless search for flights with a single authentication process. ## Who can review? @hinthornw ## Appendix @tsolakoua and @minjikarin, I utilized your [amadeus-python](https://github.com/amadeus4dev/amadeus-python) library extensively. Given the rising popularity of LangChain and similar AI frameworks, the convergence of libraries like amadeus-python and tools like this one is likely. So, I wanted to keep you updated on our progress. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Yun Kim	54e02e4392	Add datadog-langchain integration doc (#7955 ) ## Description Added a doc about the [Datadog APM integration for LangChain](https://github.com/DataDog/dd-trace-py/pull/6137). Note that the integration is on `ddtrace`'s end and so no code is introduced/required by this integration into the langchain library. For that reason I've refrained from adding an example notebook (although I've added setup instructions for enabling the integration in the doc) as no code is technically required to enable the integration. Tagging @baskaryan as reviewer on this PR, thank you very much! ## Dependencies Datadog APM users will need to have `ddtrace` installed, but the integration is on `ddtrace` end and so does not introduce any external dependencies to the LangChain project. Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Jithin James	493cbc9410	docs: fix a couple of small indentation errors in the strings (#7951 ) Fixed a few indentations I came across in the docs @baskaryan	1 year ago
Bhashithe Abeysinghe	73901ef132	Added windows specific instructions to Llama.cpp documentation. (#8000 ) - Description: Added windows specific instructions on llama.cpp in the notebook file - Issue: #6356 - Dependencies: None - Tag maintainer: @baskaryan	1 year ago
Jeff Huber	5694e7b8cf	Update chroma notebook (#7978 ) Fix up the Chroma notebook - remove `.persist()` -- this is no longer in Chroma as of `0.4.0` - update output to match `0.4.0` - other cleanup work	1 year ago
Harutaka Kawamura	4a5894db47	Fix incorrect field name in MLflow AI Gateway config example (#7983 )	1 year ago
Kacper Łukawski	19e8472521	Add async Qdrant to async_agent.ipynb (#7993 ) I added Qdrant to the async API docs. This is the only vector store that supports full async API. @baskaryan @rlancemartin, @eyurtsev	1 year ago
Bagatur	5d021c0962	nb fix (#7962 )	1 year ago
Julien Salinas	3adab5e5be	Integrate NLP Cloud embeddings endpoint (#7931 ) Add embeddings for [NLPCloud](https://docs.nlpcloud.com/#embeddings). --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
Bagatur	854a2be0ca	Add debugging guide (#7956 )	1 year ago
Brendan Collins	9aef79c2e3	Add Geopandas.GeoDataFrame Document Loader (#3817 ) Work in Progress. WIP Not ready... Adds Document Loader support for [Geopandas.GeoDataFrames](https://geopandas.org/) Example: - [x] stub out `GeoDataFrameLoader` class - [x] stub out integration tests - [ ] Experiment with different geometry text representations - [ ] Verify CRS is successfully added in metadata - [ ] Test effectiveness of searches on geometries - [ ] Test with different geometry types (point, line, polygon with multi-variants). - [ ] Add documentation --------- Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Lance Martin <122662504+rlancemartin@users.noreply.github.com>	1 year ago
Lance Martin	dfc533aa74	Add llama-v2 to local document QA (#7952 )	1 year ago
Bagatur	f97535b33e	fix (#7947 )	1 year ago
Harutaka Kawamura	f6839a8682	Add integration for MLflow AI Gateway (#7113 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> - Adds integration for MLflow AI Gateway (this will be shipped in MLflow 2.5 this week). Manual testing: ```sh # Move to mlflow repo cd /path/to/mlflow # install langchain pip install git+https://github.com/harupy/langchain.git@gateway-integration # launch gateway service mlflow gateway start --config-path examples/gateway/openai/config.yaml # Then, run the examples in this PR ```	1 year ago
William FH	9d7e57f5c0	Docs Nit (#7918 )	1 year ago
Jarek Kazmierczak	f2ef3ff54a	Google Cloud Enterprise Search retriever (#7857 ) Added a retriever that encapsulated Google Cloud Enterprise Search. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Zizhong Zhang	bdf0c2267f	docs(custom_chain) fix typo (#7898 ) Fix typo in the document of custom_chain	1 year ago
Jeff Huber	2139d0197e	upgrade chroma to 0.4.0 (#7749 ) This should land Monday the 17th Chroma is upgrading from `0.3.29` to `0.4.0`. `0.4.0` is easier to build, more durable, faster, smaller, and more extensible. This comes with a few changes: 1. A simplified and improved client setup. Instead of having to remember weird settings, users can just do `EphemeralClient`, `PersistentClient` or `HttpClient` (the underlying direct `Client` implementation is also still accessible) 2. We migrated data stores away from `duckdb` and `clickhouse`. This changes the api for the `PersistentClient` that used to reference `chroma_db_impl="duckdb+parquet"`. Now we simply set `is_persistent=true`. `is_persistent` is set for you to `true` if you use `PersistentClient`. 3. Because we migrated away from `duckdb` and `clickhouse` - this also means that users need to migrate their data into the new layout and schema. Chroma is committed to providing extension notification and tooling around any schema and data migrations (for example - this PR!). After upgrading to `0.4.0` - if users try to access their data that was stored in the previous regime, the system will throw an `Exception` and instruct them how to use the migration assistant to migrate their data. The migration assitant is a pip installable CLI: `pip install chroma_migrate`. And is runnable by calling `chroma_migrate` -- TODO ADD here is a short video demonstrating how it works. Please reference the readme at [chroma-core/chroma-migrate](https://github.com/chroma-core/chroma-migrate) to see a full write-up of our philosophy on migrations as well as more details about this particular migration. Please direct any users facing issues upgrading to our Discord channel called [#get-help](https://discord.com/channels/1073293645303795742/1129200523111841883). We have also created a [email listserv](https://airtable.com/shrHaErIs1j9F97BE) to notify developers directly in the future about breaking changes. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Lance Martin	41c841ec85	Add Llama-v2 to Llama.cpp notebook (#7913 )	1 year ago
Bagatur	b9639f6067	fix docs (#7911 )	1 year ago
Lance Martin	862268175e	Add llama-v2 to docs (#7893 )	1 year ago
Filip Michalsky	69b9db2b5e	Notebook update: sales agent with tools (#7753 ) - Description: This is an update to a previously published notebook. Sales Agent now has access to tools, and this notebook shows how to use a Product Knowledge base to reduce hallucinations and act as a better sales person! - Issue: N/A - Dependencies: `chromadb openai tiktoken` - Tag maintainer: @baskaryan @hinthornw - Twitter handle: @FilipMichalsky	1 year ago
Orgil	75d3f1e5e6	remove unused import in voice assistant doc (#7757 ) Description: Removed unused import in voice_assistant doc. Tag maintainer: @baskaryan	1 year ago
maciej-skorupka	c6d1d6d7fc	feat: moving azure OpenAI API version to the latest 2023-05-15 (#7764 ) Moving to the latest non-preview Azure OpenAI API version=2023-05-15. The previous 2023-03-15-preview doesn't have support, SLA etc. For instance, OpenAI SDK has moved to this version https://github.com/openai/openai-python/releases/tag/v0.27.7 @baskaryan	1 year ago
satorioh	259a409998	docs(zilliz): connection_args add token description for serverless cl… (#7810 ) Description: Currently, Zilliz only support dedicated clusters using a pair of username and password for connection. Regarding serverless clusters, they can connect to them by using API keys( [ see official note detail](https://docs.zilliz.com/docs/manage-cluster-credentials)), so I add API key(token) description in Zilliz docs to make it more obvious and convenient for this group of users to better utilize Zilliz. No changes done to code. --------- Co-authored-by: Robin.Wang <3Jg$94sbQ@q1> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
maciej-skorupka	5de7815310	docs: added comment from azure llm to azure chat about GPT-4 (#7884 ) Azure GPT-4 models can't be accessed via LLM model. It's easy to miss that and a lot of discussions about that are on the Internet. Therefore I added a comment in Azure LLM docs that mentions that and points to Azure Chat OpenAI docs. @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bill Zhang	dda11d2a05	WeaviateHybridSearchRetriever option to enable scores. (#7861 ) Description: This PR adds the option to retrieve scores and explanations in the WeaviateHybridSearchRetriever. This feature improves the usability of the retriever by allowing users to understand the scoring logic behind the search results and further refine their search queries. Issue: This PR is a solution to the issue #7855 Dependencies: This PR does not introduce any new dependencies. Tag maintainer: @rlancemartin, @eyurtsev I have included a unit test for the added feature, ensuring that it retrieves scores and explanations correctly. I have also included an example notebook demonstrating its use.	1 year ago
Jonathan Pedoeem	c460c29a64	Adding Docs for `PromptLayerCallbackHandler` (#7860 ) Here I am adding documentation for the `PromptLayerCallbackHandler`. When we created the initial PR for the callback handler the docs were causing issues, so we merged without the docs.	1 year ago
German Martin	f1eaa9b626	Lost in the middle: We have been ordering documents the WRONG way. (for long context) (#7520 ) Motivation, it seems that when dealing with a long context and "big" number of relevant documents we must avoid using out of the box score ordering from vector stores. See: https://arxiv.org/pdf/2306.01150.pdf So, I added an additional parameter that allows you to reorder the retrieved documents so we can work around this performance degradation. The relevance respect the original search score but accommodates the lest relevant document in the middle of the context. Extract from the paper (one image speaks 1000 tokens): ![image](https://github.com/hwchase17/langchain/assets/1821407/fafe4843-6e18-4fa6-9416-50cc1d32e811) This seems to be common to all diff arquitectures. SO I think we need a good generic way to implement this reordering and run some test in our already running retrievers. It could be that my approach is not the best one from the architecture point of view, happy to have a discussion about that. For me this was the best place to introduce the change and start retesting diff implementations. @rlancemartin, @eyurtsev --------- Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
William FH	c6f2d27789	Docs Nits (#7874 ) Add links to reference docs	1 year ago
William FH	3179ee3a56	Evals docs (#7460 ) Still don't have good "how to's", and the guides / examples section could be further pruned and improved, but this PR adds a couple examples for each of the common evaluator interfaces. - [x] Example docs for each implemented evaluator - [x] "how to make a custom evalutor" notebook for each low level APIs (comparison, string, agent) - [x] Move docs to modules area - [x] Link to reference docs for more information - [X] Still need to finish the evaluation index page - ~[ ] Don't have good data generation section~ - ~[ ] Don't have good how to section for other common scenarios / FAQs like regression testing, testing over similar inputs to measure sensitivity, etc.~	1 year ago
Jasper	5b4d53e8ef	Add text_content kwarg to BrowserlessLoader (#7856 ) Added keyword argument to toggle between getting the text content of a site versus its HTML when using the `BrowserlessLoader`	1 year ago
William FH	2aa3cf4e5f	update notebook (#7852 )	1 year ago
Matt Robinson	3c489be773	feat: optional post-processing for Unstructured loaders (#7850 ) ### Summary Adds a post-processing method for Unstructured loaders that allows users to optionally modify or clean extracted elements. ### Testing ```python from langchain.document_loaders import UnstructuredFileLoader from unstructured.cleaners.core import clean_extra_whitespace loader = UnstructuredFileLoader( "./example_data/layout-parser-paper.pdf", mode="elements", post_processors=[clean_extra_whitespace], ) docs = loader.load() docs[:5] ``` ### Reviewrs - @rlancemartin - @eyurtsev - @hwchase17	1 year ago
Bagatur	2a315dbee9	fix nb (#7843 )	1 year ago
Bagatur	98c48f303a	fix (#7838 )	1 year ago
Dayuan Jiang	ee40d37098	add bm25 module (#7779 ) - Description: Add a BM25 Retriever that do not need Elastic search - Dependencies: rank_bm25(if it is not installed it will be install by using pip, just like TFIDFRetriever do) - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: DayuanJian21687 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Liu Ming	fa0a9e502a	Add LLM for ChatGLM(2)-6B API (#7774 ) Description: Add LLM for ChatGLM-6B & ChatGLM2-6B API Related Issue: Will the langchain support ChatGLM? #4766 Add support for selfhost models like ChatGLM or transformer models #1780 Dependencies: No extra library install required. It wraps api call to a ChatGLM(2)-6B server(start with api.py), so api endpoint is required to run. Tag maintainer: @mlot Any comments on this PR would be appreciated. --------- Co-authored-by: mlot <limpo2000@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
sseide	25e3d3f283	Support Redis Sentinel database connections (#5196 ) # Support Redis Sentinel database connections This PR adds the support to connect not only to Redis standalone servers but High Availability Replication sets too (https://redis.io/docs/management/sentinel/) Redis Replica Sets have on Master allowing to write data and 2+ replicas with read-only access to the data. The additional Redis Sentinel instances monitor all server and reconfigure the RW-Master on the fly if it comes unavailable. Therefore all connections must be made through the Sentinels the query the current master for a read-write connection. This PR adds basic support to also allow a redis connection url specifying a Sentinel as Redis connection. Redis documentation and Jupyter notebook with Redis examples are updated to mention how to connect to a redis Replica Set with Sentinels - Remark - i did not found test cases for Redis server connections to add new cases here. Therefor i tests the new utility class locally with different kind of setups to make sure different connection urls are working as expected. But no test case here as part of this PR.	1 year ago
Yifei Song	2e47412073	Add Xorbits agent (#7647 ) - [Xorbits](https://doc.xorbits.io/en/latest/) is an open-source computing framework that makes it easy to scale data science and machine learning workloads in parallel. Xorbits can leverage multi cores or GPUs to accelerate computation on a single machine, or scale out up to thousands of machines to support processing terabytes of data. - This PR added support for the Xorbits agent, which allows langchain to interact with Xorbits Pandas dataframe and Xorbits Numpy array. - Dependencies: This change requires the Xorbits library to be installed in order to be used. `pip install xorbits` - Request for review: @hinthornw - Twitter handle: https://twitter.com/Xorbitsio	1 year ago
Ankush Gola	ff3aada0b2	minor langsmith notebook fixes (#7814 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
William FH	c58d35765d	Add examples to docstrings (#7796 ) and: - remove dataset name from autogenerated project name - print out project name to view	1 year ago
Ankush Gola	c4ece52dac	update LangSmith notebook (#7767 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Lance Martin	1d06eee3b5	Fix ntbk link in docs (#7755 ) Minor fix to running to [docs](https://python.langchain.com/docs/use_cases/question_answering/local_retrieval_qa).	1 year ago
Mohammad Mohtashim	b8b8a138df	Simple Import fix in Tools Exception Docs (#7740 ) Issue: #7720 @hinthornw	1 year ago
Lance Martin	b015647e31	Add GPT4All embeddings (#7743 ) Support for [GPT4All embeddings](https://docs.gpt4all.io/gpt4all_python_embedding.html) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bearnardd	275b926cf7	add missing import (#7730 ) Just a nit documentation fix @baskaryan	1 year ago
Lorenzo	77e6bbe6f0	fix typo in deeplake.ipynb (#7718 ) - Fixing typos in deeplake documentation - @baskaryan	1 year ago
Samuel Berthe	2be3515a66	SQLDatabase: adding security disclamer (#7710 ) It might be obvious to most engineers, but I think everybody should be cautious when using such a chain. ![image](https://github.com/hwchase17/langchain/assets/2951285/a1df6567-9d56-4c12-98ea-767401ae2ac8)	1 year ago
Bagatur	bae93682f6	update docs (#7714 )	1 year ago
Bagatur	b065da6933	Bagatur/docs nit (#7712 )	1 year ago
Aarav Borthakur	210296a71f	Integrate Rockset as a document loader (#7681 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> Integrate [Rockset](https://rockset.com/docs/) as a document loader. Issue: None Dependencies: Nothing new (rockset's dependency was already added [here](https://github.com/hwchase17/langchain/pull/6216)) Tag maintainer: @rlancemartin I have added a test for the integration and an example notebook showing its use. I ran `make lint` and everything looks good. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Samuel Berthe	7d4843fe84	feat(chains): adding ElasticsearchDatabaseChain for interacting with analytics database (#7686 ) This pull request adds a ElasticsearchDatabaseChain chain for interacting with analytics database, in the manner of the SQLDatabaseChain. Maintainer: @samber Twitter handler: samuelberthe --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Daniel	6d88b23ef7	Update pgembedding.ipynb (#7699 ) Update the extension name. It changed from pg_hnsw to pg_embedding. Thank you. I missed this in my previous commit.	1 year ago
Richy Wang	45bb414be2	Add LLM for Alibaba's Damo Academy's Tongyi Qwen API (#7477 ) - Add langchain.llms.Tonyi for text completion, in examples into the Tonyi Text API, - Add system tests. Note async completion for the Text API is not yet supported and will be included in a future PR. Dependencies: dashscope. It will be installed manually cause it is not need by everyone. Happy for feedback on any aspect of this PR @hwchase17 @baskaryan.	1 year ago
Lance Martin	6325a3517c	Make recursive loader yield while crawling (#7568 ) Support actual lazy_load since it can take a while to crawl larger directories.	1 year ago
UmerHA	82f3e32d8d	[Small upgrade] Allow document limit in AzureCognitiveSearchRetriever (#7690 ) Multiple people have asked in #5081 for a way to limit the documents returned from an AzureCognitiveSearchRetriever. This PR adds the `top_n` parameter to allow that. Twitter handle: [@UmerHAdil](twitter.com/umerHAdil)	1 year ago
Daniel	854f3fe9b1	Update pgembedding.ipynb (#7682 ) Correct links to the pg_embedding repository and the Neon documentation.	1 year ago
William FH	051fac1e66	Improve walkthrough links for sphinx (#7672 ) Co-authored-by: Ankush Gola <9536492+agola11@users.noreply.github.com>	1 year ago
Jasper	fbc97a77ed	add browserless loader (#7562 ) # Browserless Added support for Browserless' `/content` endpoint as a document loader. ### About Browserless Browserless is a cloud service that provides access to headless Chrome browsers via a REST API. It allows developers to automate Chromium in a serverless fashion without having to configure and maintain their own Chrome infrastructure. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
frangin2003	c7b687e944	Simplify GraphQL Tool Initialization documentation by Removing 'llm' Argument (#7651 ) This PR is aimed at enhancing the clarity of the documentation in the langchain project. Description: In the graphql.ipynb file, I have removed the unnecessary 'llm' argument from the initialization process of the GraphQL tool (of type _EXTRA_OPTIONAL_TOOLS). The 'llm' argument is not required for this process. Its presence could potentially confuse users. This modification simplifies the understanding of tool initialization and minimizes potential confusion. Issue: Not applicable, as this is a documentation improvement. Dependencies: None. I kindly request a review from the following maintainer: @hinthornw, who is responsible for Agents / Tools / Toolkits. No new integration is being added in this PR, hence no need for a test or an example notebook. Please see the changes for more detail and let me know if any further modification is necessary.	1 year ago
William FH	a673a51efa	[Breaking] Update Evaluation Functionality (#7388 ) - Migrate from deprecated langchainplus_sdk to `langsmith` package - Update the `run_on_dataset()` API to use an eval config - Update a number of evaluators, as well as the loading logic - Update docstrings / reference docs - Update tracer to share single HTTP session	1 year ago
Matt Adams	98e1bbfbbd	Add missing dependencies to apify.ipynb (#6331 ) Fixes errors caused by missing dependencies when running the notebook.	1 year ago
Francisco Ingham	488d2d5da9	Entity extraction improvements (#6342 ) Added fix to avoid irrelevant attributes being returned plus an example of extracting unrelated entities and an exampe of using an 'extra_info' attribute to extract unstructured data for an entity. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	7f8ff2a317	add tagger nb (#7637 )	1 year ago
Jason Fan	8effd90be0	Add new types of document transformers (#7379 ) - Description: Add two new document transformers that translates documents into different languages and converts documents into q&a format to improve vector search results. Uses OpenAI function calling via the [doctran](https://github.com/psychic-api/doctran/tree/main) library. - Issue: N/A - Dependencies: `doctran = "^0.0.5"` - Tag maintainer: @rlancemartin @eyurtsev @hwchase17 - Twitter handle: @psychicapi or @jfan001 Notes - Adheres to the `DocumentTransformer` abstraction set by @dev2049 in #3182 - refactored `EmbeddingsRedundantFilter` to put it in a file under a new `document_transformers` module - Added basic docs for `DocumentInterrogator`, `DocumentTransformer` as well as the existing `EmbeddingsRedundantFilter` --------- Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Jamie Broomall	0e1d7a27c6	WhyLabsCallbackHandler updates (#7621 ) Updates to the WhyLabsCallbackHandler and example notebook - Update dependency to langkit 0.0.6 which defines new helper methods for callback integrations - Update WhyLabsCallbackHandler to use the new `get_callback_instance` so that the callback is mostly defined in langkit - Remove much of the implementation of the WhyLabsCallbackHandler here in favor of the callback instance This does not change the behavior of the whylabs callback handler implementation but is a reorganization that moves some of the implementation externally to our optional dependency package, and should make future updates easier. @agola11	1 year ago
Gaurang Pawar	53722dcfdc	Fixed a typo in pinecone_hybrid_search.ipynb (#7627 ) Fixed a small typo in documentation	1 year ago
Bagatur	ee70d4a0cd	mv tutorials (#7614 )	1 year ago
Yaroslav Halchenko	0d92a7f357	codespell: workflow, config + some (quite a few) typos fixed (#6785 ) Probably the most boring PR to review ;) Individual commits might be easier to digest --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	1 year ago
Sam	931e68692e	Adds a chain around sympy for symbolic math (#6834 ) - Description: Adds a new chain that acts as a wrapper around Sympy to give LLMs the ability to do some symbolic math. - Dependencies: SymPy --------- Co-authored-by: sreiswig <sreiswig@github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Subsegment	6e1000dc8d	docs : Use more meaningful cnosdb examples (#7587 ) This change makes the ecosystem integrations cnosdb documentation more realistic and easy to understand. - change examples of question and table - modify typo and format	1 year ago
ausboss	50316f6477	Adding LLM wrapper for Kobold AI (#7560 ) - Description: add wrapper that lets you use KoboldAI api in langchain - Issue: n/a - Dependencies: none extra, just what exists in lanchain - Tag maintainer: @baskaryan - Twitter handle: @zanzibased --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
os1ma	2667ddc686	Fix `make docs_build` and related scripts (#7276 ) Description: a description of the change Fixed `make docs_build` and related scripts which caused errors. There are several changes. First, I made the build of the documentation and the API Reference into two separate commands. This is because it takes less time to build. The commands for documents are `make docs_build`, `make docs_clean`, and `make docs_linkcheck`. The commands for API Reference are `make api_docs_build`, `api_docs_clean`, and `api_docs_linkcheck`. It looked like `docs/.local_build.sh` could be used to build the documentation, so I used that. Since `.local_build.sh` was also building API Rerefence internally, I removed that process. `.local_build.sh` also added some Bash options to stop in error or so. Futher more added `cd "${SCRIPT_DIR}"` at the beginning so that the script will work no matter which directory it is executed in. `docs/api_reference/api_reference.rst` is removed, because which is generated by `docs/api_reference/create_api_rst.py`, and added it to .gitignore. Finally, the description of CONTRIBUTING.md was modified. Issue: the issue # it fixes (if applicable) https://github.com/hwchase17/langchain/issues/6413 Dependencies: any dependencies required for this change `nbdoc` was missing in group docs so it was added. I installed it with the `poetry add --group docs nbdoc` command. I am concerned if any modifications are needed to poetry.lock. I would greatly appreciate it if you could pay close attention to this file during the review. Tag maintainer - General / Misc / if you don't know who to tag: @baskaryan If this PR needs any additional changes, I'll be happy to make them! --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
schop-rob	e811c5e8c6	Add OpenAI organization ID to docs (#7398 ) Description: I added an example of how to reference the OpenAI API Organization ID, because I couldn't find it before. In the example, it is mentioned how to achieve this using environment variables as well as parameters for the OpenAI()-class Issue: - Dependencies: - Twitter @schop-rob	1 year ago
Kenny	8741e55e7c	Template formats documentation (#7404 ) Simple addition to the documentation, adding the correct import statement & showcasing using Python FStrings.	1 year ago
OwenElliott	9cb2347453	Fix broken link from Marqo Ecosystem (#7510 ) Small fix to a link from the Marqo page in the ecosystem. The link was not updated correctly when the documentation structure changed to html pages instead of links to notebooks.	1 year ago
Kacper Łukawski	1f83b5f47e	Reuse the existing collection if configured properly in Qdrant.from_texts (#7530 ) This PR changes the behavior of `Qdrant.from_texts` so the collection is reused if not requested to recreate it. Previously, calling `Qdrant.from_texts` or `Qdrant.from_documents` resulted in removing the old data which was confusing for many.	1 year ago
Felix Brockmeier	406a9dc11f	Add notebook example for Lemon AI NLP Workflow Automation (#7556 ) - Description: Added notebook to LangChain docs that explains how to use Lemon AI NLP Workflow Automation tool with Langchain - Issue: not applicable - Dependencies: not applicable - Tag maintainer: @agola11 - Twitter handle: felixbrockm	1 year ago
Lance Martin	9e067b8cc9	Add env setup (#7550 ) Include setup	1 year ago
Bagatur	d2137eea9f	fix cpal docs (#7545 )	1 year ago
Boris	9129318466	CPAL (#6255 ) # Causal program-aided language (CPAL) chain ## Motivation This builds on the recent [PAL](https://arxiv.org/abs/2211.10435) to stop LLM hallucination. The problem with the [PAL](https://arxiv.org/abs/2211.10435) approach is that it hallucinates on a math problem with a nested chain of dependence. The innovation here is that this new CPAL approach includes causal structure to fix hallucination. For example, using the below word problem, PAL answers with 5, and CPAL answers with 13. "Tim buys the same number of pets as Cindy and Boris." "Cindy buys the same number of pets as Bill plus Bob." "Boris buys the same number of pets as Ben plus Beth." "Bill buys the same number of pets as Obama." "Bob buys the same number of pets as Obama." "Ben buys the same number of pets as Obama." "Beth buys the same number of pets as Obama." "If Obama buys one pet, how many pets total does everyone buy?" The CPAL chain represents the causal structure of the above narrative as a causal graph or DAG, which it can also plot, as shown below. ![complex-graph](https://github.com/hwchase17/langchain/assets/367522/d938db15-f941-493d-8605-536ad530f576) . The two major sections below are: 1. Technical overview 2. Future application Also see [this jupyter notebook](https://github.com/borisdev/langchain/blob/master/docs/extras/modules/chains/additional/cpal.ipynb) doc. ## 1. Technical overview ### CPAL versus PAL Like [PAL](https://arxiv.org/abs/2211.10435), CPAL intends to reduce large language model (LLM) hallucination. The CPAL chain is different from the PAL chain for a couple of reasons. * CPAL adds a causal structure (or DAG) to link entity actions (or math expressions). * The CPAL math expressions are modeling a chain of cause and effect relations, which can be intervened upon, whereas for the PAL chain math expressions are projected math identities. PAL's generated python code is wrong. It hallucinates when complexity increases. ```python def solution(): """Tim buys the same number of pets as Cindy and Boris.Cindy buys the same number of pets as Bill plus Bob.Boris buys the same number of pets as Ben plus Beth.Bill buys the same number of pets as Obama.Bob buys the same number of pets as Obama.Ben buys the same number of pets as Obama.Beth buys the same number of pets as Obama.If Obama buys one pet, how many pets total does everyone buy?""" obama_pets = 1 tim_pets = obama_pets cindy_pets = obama_pets + obama_pets boris_pets = obama_pets + obama_pets total_pets = tim_pets + cindy_pets + boris_pets result = total_pets return result # math result is 5 ``` CPAL's generated python code is correct. ```python story outcome data name code value depends_on 0 obama pass 1.0 [] 1 bill bill.value = obama.value 1.0 [obama] 2 bob bob.value = obama.value 1.0 [obama] 3 ben ben.value = obama.value 1.0 [obama] 4 beth beth.value = obama.value 1.0 [obama] 5 cindy cindy.value = bill.value + bob.value 2.0 [bill, bob] 6 boris boris.value = ben.value + beth.value 2.0 [ben, beth] 7 tim tim.value = cindy.value + boris.value 4.0 [cindy, boris] query data { "question": "how many pets total does everyone buy?", "expression": "SELECT SUM(value) FROM df", "llm_error_msg": "" } # query result is 13 ``` Based on the comments below, CPAL's intended location in the library is `experimental/chains/cpal` and PAL's location is`chains/pal`. ### CPAL vs Graph QA Both the CPAL chain and the Graph QA chain extract entity-action-entity relations into a DAG. The CPAL chain is different from the Graph QA chain for a few reasons. * Graph QA does not connect entities to math expressions * Graph QA does not associate actions in a sequence of dependence. * Graph QA does not decompose the narrative into these three parts: 1. Story plot or causal model 4. Hypothetical question 5. Hypothetical condition ### Evaluation Preliminary evaluation on simple math word problems shows that this CPAL chain generates less hallucination than the PAL chain on answering questions about a causal narrative. Two examples are in [this jupyter notebook](https://github.com/borisdev/langchain/blob/master/docs/extras/modules/chains/additional/cpal.ipynb) doc. ## 2. Future application ### "Describe as Narrative, Test as Code" The thesis here is that the Describe as Narrative, Test as Code approach allows you to represent a causal mental model both as code and as a narrative, giving you the best of both worlds. #### Why describe a causal mental mode as a narrative? The narrative form is quick. At a consensus building meeting, people use narratives to persuade others of their causal mental model, aka. plan. You can share, version control and index a narrative. #### Why test a causal mental model as a code? Code is testable, complex narratives are not. Though fast, narratives are problematic as their complexity increases. The problem is LLMs and humans are prone to hallucination when predicting the outcomes of a narrative. The cost of building a consensus around the validity of a narrative outcome grows as its narrative complexity increases. Code does not require tribal knowledge or social power to validate. Code is composable, complex narratives are not. The answer of one CPAL chain can be the hypothetical conditions of another CPAL Chain. For stochastic simulations, a composable plan can be integrated with the [DoWhy library](https://github.com/py-why/dowhy). Lastly, for the futuristic folk, a composable plan as code allows ordinary community folk to design a plan that can be integrated with a blockchain for funding. An explanation of a dependency planning application is [here.](https://github.com/borisdev/cpal-llm-chain-demo) --- Twitter handle: @boris_dev --------- Co-authored-by: Boris Dev <borisdev@Boriss-MacBook-Air.local>	1 year ago
Alejandra De Luna	2e4047e5e7	feat: support generate as an early stopping method for `OpenAIFunctionsAgent` (#7229 ) This PR proposes an implementation to support `generate` as an `early_stopping_method` for the new `OpenAIFunctionsAgent` class. The motivation behind is to facilitate the user to set a maximum number of actions the agent can take with `max_iterations` and force a final response with this new agent (as with the `Agent` class). The following changes were made: - The `OpenAIFunctionsAgent.return_stopped_response` method was overwritten to support `generate` as an `early_stopping_method` - A boolean `with_functions` parameter was added to the `OpenAIFunctionsAgent.plan` method This way the `OpenAIFunctionsAgent.return_stopped_response` method can call the `OpenAIFunctionsAgent.plan` method with `with_function=False` when the `early_stopping_method` is set to `generate`, making a call to the LLM with no functions and forcing a final response from the `"assistant"`. - Relevant maintainer: @hinthornw - Twitter handle: @aledelunap --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Lance Martin	4a94f56258	Minor edits to QA docs (#7507 ) Small clean-ups	1 year ago
Lance Martin	28d2b213a4	Update landing page for "question answering over documents" (#7152 ) Improve documentation for a central use-case, qa / chat over documents. This will be merged as an update to `index.mdx` [here](https://python.langchain.com/docs/use_cases/question_answering/). Testing w/ local Docusaurus server: ``` From `docs` directory: mkdir _dist cp -r {docs_skeleton,snippets} _dist cp -r extras/* _dist/docs_skeleton/docs cd _dist/docs_skeleton yarn install yarn start ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Adilkhan Sarsen	5debd5043e	Added deeplake use case examples of the new features (#6528 ) <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> <!-- Remove if not applicable --> Fixes # (issue) #### Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> #### Who can review? Tag maintainers/contributors who might be interested: <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @hwchase17 VectorStores / Retrievers / Memory - @dev2049 --> 1. Added use cases of the new features 2. Done some code refactoring --------- Co-authored-by: Ivo Stranic <istranic@gmail.com>	1 year ago
Kazuki Maeda	92b4418c8c	Datadog logs loader (#7356 ) ### Description Created a Loader to get a list of specific logs from Datadog Logs. ### Dependencies `datadog_api_client` is required. ### Twitter handle [kzk_maeda](https://twitter.com/kzk_maeda) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Yifei Song	7d29bb2c02	Add Xorbits Dataframe as a Document Loader (#7319 ) - [Xorbits](https://doc.xorbits.io/en/latest/) is an open-source computing framework that makes it easy to scale data science and machine learning workloads in parallel. Xorbits can leverage multi cores or GPUs to accelerate computation on a single machine, or scale out up to thousands of machines to support processing terabytes of data. - This PR added support for the Xorbits document loader, which allows langchain to leverage Xorbits to parallelize and distribute the loading of data. - Dependencies: This change requires the Xorbits library to be installed in order to be used. `pip install xorbits` - Request for review: @rlancemartin, @eyurtsev - Twitter handle: https://twitter.com/Xorbitsio Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Paul-Emile Brotons	d2cf0d16b3	adding max_marginal_relevance_search method to MongoDBAtlasVectorSearch (#7310 ) Adding a maximal_marginal_relevance method to the MongoDBAtlasVectorSearch vectorstore enhances the user experience by providing more diverse search results Issue: #7304	1 year ago
Matt Robinson	bcab894f4e	feat: Add `UnstructuredTSVLoader` (#7367 ) ### Summary Adds an `UnstructuredTSVLoader` for TSV files. Also updates the doc strings for `UnstructuredCSV` and `UnstructuredExcel` loaders. ### Testing ```python from langchain.document_loaders.tsv import UnstructuredTSVLoader loader = UnstructuredTSVLoader( file_path="example_data/mlb_teams_2012.csv", mode="elements" ) docs = loader.load() ```	1 year ago
nikkie	dfc3f83b0f	docs(vectorstores/integrations/chroma): Fix loading and saving (#7437 ) - Description: Fix loading and saving code about Chroma - Issue: the issue #7436 - Dependencies: - - Twitter handle: https://twitter.com/ftnext	1 year ago
Daniel Chalef	c7f7788d0b	Add ZepMemory; improve ZepChatMessageHistory handling of metadata; Fix bugs (#7444 ) Hey @hwchase17 - This PR adds a `ZepMemory` class, improves handling of Zep's message metadata, and makes it easier for folks building custom chains to persist metadata alongside their chat history. We've had plenty confused users unfamiliar with ChatMessageHistory classes and how to wrap the `ZepChatMessageHistory` in a `ConversationBufferMemory`. So we've created the `ZepMemory` class as a light wrapper for `ZepChatMessageHistory`. Details: - add ZepMemory, modify notebook to demo use of ZepMemory - Modify summary to be SystemMessage - add metadata argument to add_message; add Zep metadata to Message.additional_kwargs - support passing in metadata	1 year ago
Saurabh Chaturvedi	8f8e8d701e	Fix info about YouTube (#7447 ) (Unintentionally mean 😅) nit: YouTube wasn't created by Google, this PR fixes the mention in docs.	1 year ago
Nolan	5da9f9abcb	docs(agents/toolkits): Fix error in document_comparison_toolkit.ipynb (#7417 ) Replace this comment with: - Description: Removes unneeded output warning in documentation at https://python.langchain.com/docs/modules/agents/toolkits/document_comparison_toolkit - Issue: - - Dependencies: - - Tag maintainer: @baskaryan - Twitter handle: @finnless	1 year ago
Delgermurun	a1603fccfb	integrate JinaChat (#6927 ) Integration with https://chat.jina.ai/api. It is OpenAI compatible API. - Twitter handle: [https://twitter.com/JinaAI_](https://twitter.com/JinaAI_) --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Roger Yu	633b673b85	Update pinecone.ipynb (#7382 ) Fix typo	1 year ago
Joshua Carroll	705d2f5b92	Update the API Reference link in Streamlit integration docs (#7377 ) This page: https://python.langchain.com/docs/modules/callbacks/integrations/streamlit Has a bad API Reference link currently. This PR fixes it to the correct link. Also updates the embedded app link to https://langchain-mrkl.streamlit.app/ (better name) which is hosted in langchain-ai/streamlit-agent repo	1 year ago
Georges Petrov	ec033ae277	Rename Databerry to Chaindesk (#7022 ) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	7cdf97ba9b	Harrison/add to imports (#7370 ) pgvector cleanup	1 year ago
Bagatur	4d427b2397	Base language model docstrings (#7104 )	1 year ago
Alex Gamble	df746ad821	Add a callback handler for Context (https://getcontext.ai ) (#7151 ) ### Description Adding a callback handler for Context. Context is a product analytics platform for AI chat experiences to help you understand how users are interacting with your product. I've added the callback library + an example notebook showing its use. ### Dependencies Requires the user to install the `context-python` library. The library is lazily-loaded when the callback is instantiated. ### Announcing the feature We spoke with Harrison a few weeks ago about also doing a blog post announcing our integration, so will coordinate this with him. Our Twitter handle for the company is @getcontextai, and the founders are @_agamble and @HenrySG. Thanks in advance!	1 year ago
German Martin	3ce4e46c8c	The Fellowship of the Vectors: New Embeddings Filter using clustering. (#7015 ) Continuing with Tolkien inspired series of langchain tools. I bring to you: The Fellowship of the Vectors, AKA EmbeddingsClusteringFilter. This document filter uses embeddings to group vectors together into clusters, then allows you to pick an arbitrary number of documents vector based on proximity to the cluster centers. That's a representative sample of the cluster. The original idea is from [Greg Kamradt](https://github.com/gkamradt) from this video (Level4): https://www.youtube.com/watch?v=qaPMdcCqtWk&t=365s I added few tricks to make it a bit more versatile, so you can parametrize what to do with duplicate documents in case of cluster overlap: replace the duplicates with the next closest document or remove it. This allow you to use it as an special kind of redundant filter too. Additionally you can choose 2 diff orders: grouped by cluster or respecting the original retriever scores. In my use case I was using the docs grouped by cluster to run refine chains per cluster to generate summarization over a large corpus of documents. Let me know if you want to change anything! @rlancemartin, @eyurtsev, @hwchase17, --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Leonid Ganeline	b489466488	docs: `dependents` update 4 (#7360 ) Updated links and counters of the `dependents` page.	1 year ago
Bagatur	d1c7237034	openai fn update nb (#7352 )	1 year ago
Bagatur	1c8cff32f1	Generic OpenAI fn chain (#7270 ) Add loading functions for openai function chains and add docs page	1 year ago
OwenElliott	3074306ae1	Marqo Vector Store Examples & Type Hints (#7326 ) This PR improves the example notebook for the Marqo vectorstore implementation by adding a new RetrievalQAWithSourcesChain example. The `embedding` parameter in `from_documents` has its type updated to `Union[Embeddings, None]` and a default parameter of None because this is ignored in Marqo. This PR also upgrades the Marqo version to 0.11.0 to remove the device parameter after a breaking change to the API. Related to #7068 @tomhamer @hwchase17 --------- Co-authored-by: Tom Hamer <tom@marqo.ai>	1 year ago
Bagatur	a9c5b4bcea	Bagatur/clarifai update (#7324 ) This PR improves upon the Clarifai LangChain integration with improved docs, errors, args and the addition of embedding model support in LancChain for Clarifai's embedding models and an overview of the various ways you can integrate with Clarifai added to the docs. --------- Co-authored-by: Matthew Zeiler <zeiler@clarifai.com>	1 year ago
John Landahl	e047541b5f	Corrected a typo in elasticsearch.ipynb (#7318 ) Simple typo fix	1 year ago
Subsegment	152dc59060	docs : add cnosdb to Ecosystem Integrations (#7316 ) - Implement a `from_cnosdb` method for the `SQLDatabase` class - Write CnosDB documentation and add it to Ecosystem Integrations	1 year ago
Leonid Ganeline	6ff9e9b34a	updated `huggingface_hub` examples (#7292 ) Added examples for models: - Google `Flan` - TII `Falcon` - Salesforce `XGen`	1 year ago
Dídac Sabatés	e0cb3ea90c	Fix sql_database.ipynb link (#6525 ) Looks like the [SQLDatabaseChain](https://langchain.readthedocs.io/en/latest/modules/chains/examples/sqlite.html) in the SQL Database Agent page was broken I've change it to the SQL Chain page	1 year ago
hayao-k	c23e16c459	docs: Fixed typos in Amazon Kendra Retriever documentation (#7261 ) ## Description Fixed to the official service name Amazon Kendra. ## Tag maintainer @baskaryan	1 year ago
zhaoshengbo	e8f24164f0	Improve the alibaba cloud opensearch vector store documentation (#6964 ) Based on user feedback, we have improved the Alibaba Cloud OpenSearch vector store documentation. Co-authored-by: zhaoshengbo <shengbo.zsb@alibaba-inc.com>	1 year ago
emarco177	b9d6d4cd4c	added template repo for CI/CD deployment on Google Cloud Run (#7218 ) Replace this comment with: - Description: added documentation for a template repo that helps dockerizing and deploying a LangChain using a Cloud Build CI/CD pipeline to Google Cloud build serverless - Issue: None, - Dependencies: None, - Tag maintainer: @baskaryan, - Twitter handle: EdenEmarco177 If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use.	1 year ago
Stefano Lottini	e61cfb6e99	FLARE Example notebook: switch to named arg to pass pydantic validation (#7267 ) Adding the name of the parameter to comply with latest requirements by Pydantic usage for BaseModels.	1 year ago
os1ma	b151d4257a	docs: Update documentation for Wikipedia tool to use WikipediaQueryRun (#7258 ) Description In the following page, "Wikipedia" tool is explained. https://python.langchain.com/docs/modules/agents/tools/integrations/wikipedia However, the WikipediaAPIWrapper being used is not a tool. This PR updated the documentation to use a tool WikipediaQueryRun. Issue None Tag maintainer Agents / Tools / Toolkits: @hinthornw	1 year ago
Shantanu Nair	f773c21723	Update supabase match_docs ddl and notebook to use expected id type (#7257 ) - Description: Switch supabase match function DDL to use expected uuid type instead of bigint - Issue: https://github.com/hwchase17/langchain/issues/6743, https://github.com/hwchase17/langchain/issues/7179 - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: https://twitter.com/ShantanuNair	1 year ago
Myeongseop Kim	0e878ccc2d	Add HumanInputChatModel (#7256 ) - Description: This is a chat model equivalent of HumanInputLLM. An example notebook is also added. - Tag maintainer: @hwchase17, @baskaryan - Twitter handle: N/A	1 year ago
Harrison Chase	52b016920c	Harrison/update anthropic (#7237 ) Co-authored-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>	1 year ago
Hashem Alsaket	6aa66fd2b0	Update Hugging Face Hub notebook (#7236 ) Description: `flan-t5-xl` hangs, updated to `flan-t5-xxl`. Tested all stabilityai LLMs- all hang so removed from tutorial. Temperature > 0 to prevent unintended determinism. Issue: #3275 Tag maintainer: @baskaryan	1 year ago
Harrison Chase	d6541da161	remove arize nb (#7238 ) was causing some issues with docs build	1 year ago
Mike Nitsenko	d669b9ece9	Document loader for Cube Semantic Layer (#6882 ) ### Description This pull request introduces the "Cube Semantic Layer" document loader, which demonstrates the retrieval of Cube's data model metadata in a format suitable for passing to LLMs as embeddings. This enhancement aims to provide contextual information and improve the understanding of data. Twitter handle: @the_cube_dev --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Tom	e533da8bf2	Adding Marqo to vectorstore ecosystem (#7068 ) This PR brings in a vectorstore interface for [Marqo](https://www.marqo.ai/). The Marqo vectorstore exposes some of Marqo's functionality in addition the the VectorStore base class. The Marqo vectorstore also makes the embedding parameter optional because inference for embeddings is an inherent part of Marqo. Docs, notebook examples and integration tests included. Related PR: https://github.com/hwchase17/langchain/pull/2807 --------- Co-authored-by: Tom Hamer <tom@marqo.ai> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	47e7d09dff	fix arize nb (#7227 )	1 year ago
Harrison Chase	6711854e30	Harrison/dataforseo (#7214 ) Co-authored-by: Alexander <sune357@gmail.com>	1 year ago
Hakan Tekgul	61938a02a1	Create arize_llm_observability.ipynb (#7000 ) Adding documentation and notebook for Arize callback handler. - @dev2049 - Agents / Tools / Toolkits: @vowelparrot - Tracing / Callbacks: @agola11	1 year ago
Leonid Ganeline	ecee4d6e92	docs: update `youtube` videos and tutorials (#6515 ) added tutorials.mdx; updated youtube.mdx Rationale: the Tutorials section in the documentation is top-priority. (for example, https://pytorch.org/docs/stable/index.html) Not every project has resources to make tutorials. We have such a privilege. Community experts created several tutorials on YouTube. But the tutorial links are now hidden on the YouTube page and not easily discovered by first-time visitors. - Added new videos and tutorials that were created since the last update. - Made some reprioritization between videos on the base of the view numbers. #### Who can review? - @hwchase17 - @dev2049	1 year ago
Josh Reini	30d8d1d3d0	add trulens integration (#7096 ) Description: Add TruLens integration. Twitter: @trulensml For review: - Tracing: @agola11 - Tools: @hinthornw	1 year ago
Conrad Fernandez	6eff0fa2ca	Added documentation for add_texts function for Pinecone integration (#7134 ) - Description: added some documentation to the Pinecone vector store docs page. - Issue: #7126 - Dependencies: None - Tag maintainer: @baskaryan I can add more documentation on the Pinecone integration functions as I am going to go in great depth into this area. Just wanted to check with the maintainers is if this is all good.	1 year ago
felixocker	db98c44f8f	Support for SPARQL (#7165 ) # [SPARQL](https://www.w3.org/TR/rdf-sparql-query/) for [LangChain](https://github.com/hwchase17/langchain) ## Description LangChain support for knowledge graphs relying on W3C standards using RDFlib: SPARQL/ RDF(S)/ OWL with special focus on RDF \ * Works with local files, files from the web, and SPARQL endpoints * Supports both SELECT and UPDATE queries * Includes both a Jupyter notebook with an example and integration tests ## Contribution compared to related PRs and discussions * [Wikibase agent](https://github.com/hwchase17/langchain/pull/2690) - uses SPARQL, but specifically for wikibase querying * [Cypher qa](https://github.com/hwchase17/langchain/pull/5078) - graph DB question answering for Neo4J via Cypher * [PR 6050](https://github.com/hwchase17/langchain/pull/6050) - tries something similar, but does not cover UPDATE queries and supports only RDF * Discussions on [w3c mailing list](mailto:semantic-web@w3.org) related to the combination of LLMs (specifically ChatGPT) and knowledge graphs ## Dependencies * [RDFlib](https://github.com/RDFLib/rdflib) ## Tag maintainer Graph database related to memory -> @hwchase17	1 year ago
Prakul Agarwal	38f853dfa3	Fixed typos in MongoDB Atlas Vector Search documentation (#7174 ) Fix for typos in MongoDB Atlas Vector Search documentation <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Raouf Chebri	6fc24743b7	Add pg_hnsw vectorstore integration (#6893 ) Hi @rlancemartin, @eyurtsev! - Description: Adding HNSW extension support for Postgres. Similar to pgvector vectorstore, with 3 differences 1. it uses HNSW extension for exact and ANN searches, 2. Vectors are of type array of real 3. Only supports L2 - Dependencies: [HNSW](https://github.com/knizhnik/hnsw) extension for Postgres - Example: ```python db = HNSWVectoreStore.from_documents( embedding=embeddings, documents=docs, collection_name=collection_name, connection_string=connection_string ) query = "What did the president say about Ketanji Brown Jackson" docs_with_score: List[Tuple[Document, float]] = db.similarity_search_with_score(query) ``` The example notebook is in the PR too.	1 year ago
Max Cembalest	2984803597	cleaned Arthur tracking demo notebook (#7147 ) Cleaned title and reduced clutter for integration demo notebook for the Arthur callback handler	1 year ago
Deepankar Mahapatro	da69a6771f	docs: update Jina ecosystem (#7149 ) Documentation update for [Jina ecosystem](https://python.langchain.com/docs/ecosystem/integrations/jina) and `langchain-serve` in the deployments section to latest features. @hwchase17 <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Simon Cheung	81eebc4070	Add HugeGraphQAChain to support gremlin generating chain (#7132 ) [Apache HugeGraph](https://github.com/apache/incubator-hugegraph) is a convenient, efficient, and adaptable graph database, compatible with the Apache TinkerPop3 framework and the Gremlin query language. In this PR, the HugeGraph and HugeGraphQAChain provide the same functionality as the existing integration with Neo4j and enables query generation and question answering over HugeGraph database. The difference is that the graph query language supported by HugeGraph is not cypher but another very popular graph query language [Gremlin](https://tinkerpop.apache.org/gremlin.html). A notebook example and a simple test case have also been added. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Saverio Proto	5585607654	Improve Bing Search example (#7128 ) # Description Improve Bing Search example:	1 year ago
Lance Martin	265c285057	Fix GPT4All bug w/ "n_ctx" param (#7093 ) Running `GPT4All` per the [docs](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/gpt4all), I see: ``` $ from langchain.llms import GPT4All $ model = GPT4All(model=local_path) $ model("The capital of France is ", max_tokens=10) TypeError: generate() got an unexpected keyword argument 'n_ctx' ``` It appears `n_ctx` is [no longer a supported param](https://docs.gpt4all.io/gpt4all_python.html#gpt4all.gpt4all.GPT4All.generate) in the GPT4All API from https://github.com/nomic-ai/gpt4all/pull/1090. It now uses `max_tokens`, so I set this. And I also set other defaults used in GPT4All client [here](https://github.com/nomic-ai/gpt4all/blob/main/gpt4all-bindings/python/gpt4all/gpt4all.py). Confirm it now works: ``` $ from langchain.llms import GPT4All $ model = GPT4All(model=local_path) $ model("The capital of France is ", max_tokens=10) < Model logging > "....Paris." ``` --------- Co-authored-by: R. Lance Martin <rlm@Rs-MacBook-Pro.local>	1 year ago
Stefano Lottini	6631fd5168	Align cassio versions between examples for Cassandra integration (#7099 ) Just reducing confusion by requiring cassio>=0.0.7 consistently across examples.	1 year ago
Ruixi Fan	0b69a7e9ab	[Document fix] Fix an expired link qa_benchmarking_pg.ipynb (#7110 ) ## Change description - Description: Fix an expired link that points to the readthedocs site. - Dependencies: No	1 year ago
Lance Martin	9ca4c54428	Minor updates to notebook for MultiQueryRetriever (#7102 ) * Add an easier-to-run example. * Add logging per https://github.com/hwchase17/langchain/pull/6891. * Updated params per https://github.com/hwchase17/langchain/pull/5962. --------- Co-authored-by: R. Lance Martin <rlm@Rs-MacBook-Pro.local> Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
genewoo	e49abd1277	Add Metal support to llama.cpp doc (#7092 ) - Description: Add Metal support to llama.cpp doc - Issue: #7091 - Dependencies: N/A - Twitter handle: gene_wu	1 year ago
rjarun8	e2d61ab85a	Add SpacyEmbeddings class (#6967 ) - Description: Added a new SpacyEmbeddings class for generating embeddings using the Spacy library. - Issue: Sentencebert/Bert/Spacy/Doc2vec embedding support #6952 - Dependencies: This change requires the Spacy library and the 'en_core_web_sm' Spacy model. - Tag maintainer: @dev2049 - Twitter handle: N/A This change includes a new SpacyEmbeddings class, but does not include a test or an example notebook. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
adam91holt	80e86b602e	Remove duplicate mongodb integration doc (#7006 )	1 year ago
Johnny Lim	a081e419a0	Fix sample in FAISS section (#7050 ) This PR fixes a sample in the FAISS section in the reference docs.	1 year ago
Leonid Ganeline	200be43da6	added `Brave Search` document_loader (#6989 ) - Added `Brave Search` document loader. - Refactored BraveSearch wrapper - Added a Jupyter Notebook example - Added `Ecosystem/Integrations` BraveSearch page Please review: - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev	1 year ago
Sergey Kozlov	6d15854cda	Add JSON Lines support to JSONLoader (#6913 ) Description: The JSON Lines format is used by some services such as OpenAI and HuggingFace. It's also a convenient alternative to CSV. This PR adds JSON Lines support to `JSONLoader` and also updates related tests. Tag maintainer: @rlancemartin, @eyurtsev. PS I was not able to build docs locally so didn't update related section.	1 year ago
Ofer Mendelevitch	153b56d19b	Vectara upd2 (#6506 ) Update to Vectara integration - By user request added "add_files" to take advantage of Vectara capabilities to process files on the backend, without the need for separate loading of documents and chunking in the chain. - Updated vectara.ipynb example notebook to be broader and added testing of add_file() @hwchase17 - project lead --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Leonid Ganeline	77ae8084a0	docstrings `document_loaders` 1 (#6847 ) - Updated docstrings in `document_loaders` - several code fixes. - added `docs/extras/ecosystem/integrations/airtable.md` @rlancemartin, @eyurtsev	1 year ago
Johnny Lim	9dc77614e3	Polish reference docs (#7045 ) This PR fixes broken links in the reference docs.	1 year ago
Stefano Lottini	8d2281a8ca	Second Attempt - Add concurrent insertion of vector rows in the Cassandra Vector Store (#7017 ) Retrying with the same improvements as in #6772, this time trying not to mess up with branches. @rlancemartin doing a fresh new PR from a branch with a new name. This should do. Thank you for your help! --------- Co-authored-by: Jonathan Ellis <jbellis@datastax.com> Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Matt Robinson	0498dad562	feat: enable `UnstructuredEmailLoader` to process attachments (#6977 ) ### Summary Updates `UnstructuredEmailLoader` so that it can process attachments in addition to the e-mail content. The loader will process attachments if the `process_attachments` kwarg is passed when the loader is instantiated. ### Testing ```python file_path = "fake-email-attachment.eml" loader = UnstructuredEmailLoader( file_path, mode="elements", process_attachments=True ) docs = loader.load() docs[-1] ``` ### Reviewers - @rlancemartin - @eyurtsev - @hwchase17	1 year ago
Zander Chase	b0859c9b18	Add New Retriever Interface with Callbacks (#5962 ) Handle the new retriever events in a way that (I think) is entirely backwards compatible? Needs more testing for some of the chain changes and all. This creates an entire new run type, however. We could also just treat this as an event within a chain run presumably (same with memory) Adds a subclass initializer that upgrades old retriever implementations to the new schema, along with tests to ensure they work. First commit doesn't upgrade any of our retriever implementations (to show that we can pass the tests along with additional ones testing the upgrade logic). Second commit upgrades the known universe of retrievers in langchain. - [X] Add callback handling methods for retriever start/end/error (open to renaming to 'retrieval' if you want that) - [X] Update BaseRetriever schema to support callbacks - [X] Tests for upgrading old "v1" retrievers for backwards compatibility - [X] Update existing retriever implementations to implement the new interface - [X] Update calls within chains to .{a]get_relevant_documents to pass the child callback manager - [X] Update the notebooks/docs to reflect the new interface - [X] Test notebooks thoroughly Not handled: - Memory pass throughs: retrieval memory doesn't have a parent callback manager passed through the method --------- Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>	1 year ago
William FH	a5b206caf3	Remove Promptlayer Notebook (#6996 ) It's breaking our docs build	1 year ago
Daniel Chalef	b26cca8008	Zep Authentication (#6728 ) ## Description: Add Zep API Key argument to ZepChatMessageHistory and ZepRetriever - correct docs site links - add zep api_key auth to constructors ZepChatMessageHistory: @hwchase17, ZepRetriever: @rlancemartin, @eyurtsev	1 year ago
William FH	e4625846e5	Add Flyte Callback Handler (#6139 ) (#6986 ) Signed-off-by: Samhita Alla <aallasamhita@gmail.com> Co-authored-by: Samhita Alla <aallasamhita@gmail.com>	1 year ago
William FH	64039b9f11	Promptlayer Callback (#6975 ) Co-authored-by: Saleh Hindi <saleh.hindi.one@gmail.com> Co-authored-by: jped <jonathanped@gmail.com>	1 year ago
William FH	13c62cf6b1	Arthur Callback (#6972 ) Co-authored-by: Max Cembalest <115359769+arthuractivemodeling@users.noreply.github.com>	1 year ago
William FH	8c73037dff	Simplify eval arg names (#6944 ) It'll be easier to switch between these if the names of predictions are consistent	1 year ago
Davis Chase	f780678910	Add back in clickhouse mongo vecstore notebooks (#6949 )	1 year ago
Hashem Alsaket	5861770a53	Updated QA notebook (#6801 ) Description: `all_metadatas` was not defined, `OpenAIEmbeddings` was not imported, Issue: #6723 the issue # it fixes (if applicable), Dependencies: lark, Tag maintainer: @vowelparrot , @dev2049 --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Kacper Łukawski	140ba682f1	Support named vectors in Qdrant (#6871 ) # Description This PR makes it possible to use named vectors from Qdrant in Langchain. That was requested multiple times, as people want to reuse externally created collections in Langchain. It doesn't change anything for the existing applications. The changes were covered with some integration tests and included in the docs. ## Example ```python Qdrant.from_documents( docs, embeddings, location=":memory:", collection_name="my_documents", vector_name="custom_vector", ) ``` ### Issue: #2594 Tagging @rlancemartin & @eyurtsev. I'd appreciate your review.	1 year ago
corranmac	20c6ade2fc	Grobid parser for Scientific Articles from PDF (#6729 ) ### Scientific Article PDF Parsing via Grobid `Description:` This change adds the GrobidParser class, which uses the Grobid library to parse scientific articles into a universal XML format containing the article title, references, sections, section text etc. The GrobidParser uses a local Grobid server to return PDFs document as XML and parses the XML to optionally produce documents of individual sentences or of whole paragraphs. Metadata includes the text, paragraph number, pdf relative bboxes, pages (text may overlap over two pages), section title (Introduction, Methodology etc), section_number (i.e 1.1, 2.3), the title of the paper and finally the file path. Grobid parsing is useful beyond standard pdf parsing as it accurately outputs sections and paragraphs within them. This allows for post-fitering of results for specific sections i.e. limiting results to the methodology section or results. While sections are split via headings, ideally they could be classified specifically into introduction, methodology, results, discussion, conclusion. I'm currently experimenting with chatgpt-3.5 for this function, which could later be implemented as a textsplitter. `Dependencies:` For use, the grobid repo must be cloned and Java must be installed, for colab this is: ``` !apt-get install -y openjdk-11-jdk -q !update-alternatives --set java /usr/lib/jvm/java-11-openjdk-amd64/bin/java !git clone https://github.com/kermitt2/grobid.git os.environ["JAVA_HOME"] = "/usr/lib/jvm/java-11-openjdk-amd64" os.chdir('grobid') !./gradlew clean install ``` Once installed the server is ran on localhost:8070 via ``` get_ipython().system_raw('nohup ./gradlew run > grobid.log 2>&1 &') ``` @rlancemartin, @eyurtsev Twitter Handle: @Corranmac Grobid Demo Notebook is [here](https://colab.research.google.com/drive/1X-St_mQRmmm8YWtct_tcJNtoktbdGBmd?usp=sharing). --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Harrison Chase	0ba175e13f	move octo notebook (#6901 )	1 year ago
Stefano Lottini	75fb9d2fdc	Cassandra support for chat history using CassIO library (#6771 ) ### Overview This PR aims at building on #4378, expanding the capabilities and building on top of the `cassIO` library to interface with the database (as opposed to using the core drivers directly). Usage of `cassIO` (a library abstracting Cassandra access for ML/GenAI-specific purposes) is already established since #6426 was merged, so no new dependencies are introduced. In the same spirit, we try to uniform the interface for using Cassandra instances throughout LangChain: all our appreciation of the work by @jj701 notwithstanding, who paved the way for this incremental work (thank you!), we identified a few reasons for changing the way a `CassandraChatMessageHistory` is instantiated. Advocating a syntax change is something we don't take lighthearted way, so we add some explanations about this below. Additionally, this PR expands on integration testing, enables use of Cassandra's native Time-to-Live (TTL) features and improves the phrasing around the notebook example and the short "integrations" documentation paragraph. We would kindly request @hwchase to review (since this is an elaboration and proposed improvement of #4378 who had the same reviewer). ### About the __init__ breaking changes There are [many](https://docs.datastax.com/en/developer/python-driver/3.28/api/cassandra/cluster/) options when creating the `Cluster` object, and new ones might be added at any time. Choosing some of them and exposing them as `__init__` parameters `CassandraChatMessageHistory` will prove to be insufficient for at least some users. On the other hand, working through `kwargs` or adding a long, long list of arguments to `__init__` is not a desirable option either. For this reason, (as done in #6426), we propose that whoever instantiates the Chat Message History class provide a Cassandra `Session` object, ready to use. This also enables easier injection of mocks and usage of Cassandra-compatible connections (such as those to the cloud database DataStax Astra DB, obtained with a different set of init parameters than `contact_points` and `port`). We feel that a breaking change might still be acceptable since LangChain is at `0.*`. However, while maintaining that the approach we propose will be more flexible in the future, room could be made for a "compatibility layer" that respects the current init method. Honestly, we would to that only if there are strong reasons for it, as that would entail an additional maintenance burden. ### Other changes We propose to remove the keyspace creation from the class code for two reasons: first, production Cassandra instances often employ RBAC so that the database user reading/writing from tables does not necessarily (and generally shouldn't) have permission to create keyspaces, and second that programmatic keyspace creation is not a best practice (it should be done more or less manually, with extra care about schema mismatched among nodes, etc). Removing this (usually unnecessary) operation from the `__init__` path would also improve initialization performance (shorter time). We suggest, likewise, to remove the `__del__` method (which would close the database connection), for the following reason: it is the recommended best practice to create a single Cassandra `Session` object throughout an application (it is a resource-heavy object capable to handle concurrency internally), so in case Cassandra is used in other ways by the app there is the risk of truncating the connection for all usages when the history instance is destroyed. Moreover, the `Session` object, in typical applications, is best left to garbage-collect itself automatically. As mentioned above, we defer the actual database I/O to the `cassIO` library, which is designed to encode practices optimized for LLM applications (among other) without the need to expose LangChain developers to the internals of CQL (Cassandra Query Language). CassIO is already employed by the LangChain's Vector Store support for Cassandra. We added a few more connection options in the companion notebook example (most notably, Astra DB) to encourage usage by anyone who cannot run their own Cassandra cluster. We surface the `ttl_seconds` option for automatic handling of an expiration time to chat history messages, a likely useful feature given that very old messages generally may lose their importance. We elaborated a bit more on the integration testing (Time-to-live, separation of "session ids", ...). ### Remarks from linter & co. We reinstated `cassio` as a dependency both in the "optional" group and in the "integration testing" group of `pyproject.toml`. This might not be the right thing do to, in which case the author of this PR offer his apologies (lack of confidence with Poetry - happy to be pointed in the right direction, though!). During linter tests, we were hit by some errors which appear unrelated to the code in the PR. We left them here and report on them here for awareness: ``` langchain/vectorstores/mongodb_atlas.py:137: error: Argument 1 to "insert_many" of "Collection" has incompatible type "List[Dict[str, Sequence[object]]]"; expected "Iterable[Union[MongoDBDocumentType, RawBSONDocument]]" [arg-type] langchain/vectorstores/mongodb_atlas.py:186: error: Argument 1 to "aggregate" of "Collection" has incompatible type "List[object]"; expected "Sequence[Mapping[str, Any]]" [arg-type] langchain/vectorstores/qdrant.py:16: error: Name "grpc" is not defined [name-defined] langchain/vectorstores/qdrant.py:19: error: Name "grpc" is not defined [name-defined] langchain/vectorstores/qdrant.py:20: error: Name "grpc" is not defined [name-defined] langchain/vectorstores/qdrant.py:22: error: Name "grpc" is not defined [name-defined] langchain/vectorstores/qdrant.py:23: error: Name "grpc" is not defined [name-defined] ``` In the same spirit, we observe that to even get `import langchain` run, it seems that a `pip install bs4` is missing from the minimal package installation path. Thank you!	1 year ago
Shashank Deshpande	99cfe192da	added example notebook - use custom functions with openai agent (#6865 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @dev2049 - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @dev2049 - Memory: @hwchase17 - Agents / Tools / Toolkits: @vowelparrot - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Robert Lewis	c9c8d2599e	Update Zapier Jupyter notebook to include brief OAuth example (#6892 ) Description: Adds a brief example of using an OAuth access token with the Zapier wrapper. Also links to the Zapier documentation to learn more about OAuth flows. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Yaohui Wang	9d1bd18596	feat (documents): add LarkSuite document loader (#6420 ) <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> <!-- Remove if not applicable --> ### Summary This PR adds a LarkSuite (FeiShu) document loader. > [LarkSuite](https://www.larksuite.com/) is an enterprise collaboration platform developed by ByteDance. ### Tests - an integration test case is added - an example notebook showing usage is added. [Notebook preview](https://github.com/yaohui-wyh/langchain/blob/master/docs/extras/modules/data_connection/document_loaders/integrations/larksuite.ipynb) <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> ### Who can review? - PTAL @eyurtsev @hwchase17 <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @hwchase17 VectorStores / Retrievers / Memory - @dev2049 --> --------- Co-authored-by: Yaohui Wang <wangyaohui.01@bytedance.com>	1 year ago
Jingsong Gao	a435a436c1	feat(document_loaders): add tencent cos directory and file loader (#6401 ) <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> <!-- Remove if not applicable --> - add tencent cos directory and file support for document-loader #### Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> #### Who can review? @eyurtsev	1 year ago
Shashank Deshpande	1db266b20d	Update link in apis.mdx (#6812 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @dev2049 - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @dev2049 - Memory: @hwchase17 - Agents / Tools / Toolkits: @vowelparrot - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Lance Martin	3f9900a864	Create MultiQueryRetriever (#6833 ) Distance-based vector database retrieval embeds (represents) queries in high-dimensional space and finds similar embedded documents based on "distance". But, retrieval may produce difference results with subtle changes in query wording or if the embeddings do not capture the semantics of the data well. Prompt engineering / tuning is sometimes done to manually address these problems, but can be tedious. The `MultiQueryRetriever` automates the process of prompt tuning by using an LLM to generate multiple queries from different perspectives for a given user input query. For each query, it retrieves a set of relevant documents and takes the unique union across all queries to get a larger set of potentially relevant documents. By generating multiple perspectives on the same question, the `MultiQueryRetriever` might be able to overcome some of the limitations of the distance-based retrieval and get a richer set of results. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Tim Asp	3ca1a387c2	Web Loader: Add proxy support (#6792 ) Proxies are helpful, especially when you start querying against more anti-bot websites. [Proxy services](https://developers.oxylabs.io/advanced-proxy-solutions/web-unblocker/making-requests) (of which there are many) and `requests` make it easy to rotate IPs to prevent banning by just passing along a simple dict to `requests`. CC @rlancemartin, @eyurtsev	1 year ago
Matt Robinson	dd2a151543	Docs/unstructured api key (#6781 ) ### Summary The Unstructured API will soon begin requiring API keys. This PR updates the Unstructured integrations docs with instructions on how to generate Unstructured API keys. ### Reviewers @rlancemartin @eyurtsev @hwchase17	1 year ago
Matt Robinson	b24472eae3	feat: Add `UnstructuredOrgModeLoader` (#6842 ) ### Summary Adds `UnstructuredOrgModeLoader` for processing [Org-mode](https://en.wikipedia.org/wiki/Org-mode) documents. ### Testing ```python from langchain.document_loaders import UnstructuredOrgModeLoader loader = UnstructuredOrgModeLoader( file_path="example_data/README.org", mode="elements" ) docs = loader.load() print(docs[0]) ``` ### Reviewers - @rlancemartin - @eyurtsev - @hwchase17	1 year ago
Cristóbal Carnero Liñán	e494b0a09f	feat (documents): add a source code loader based on AST manipulation (#6486 ) #### Summary A new approach to loading source code is implemented: Each top-level function and class in the code is loaded into separate documents. Then, an additional document is created with the top-level code, but without the already loaded functions and classes. This could improve the accuracy of QA chains over source code. For instance, having this script: ``` class MyClass: def __init__(self, name): self.name = name def greet(self): print(f"Hello, {self.name}!") def main(): name = input("Enter your name: ") obj = MyClass(name) obj.greet() if __name__ == '__main__': main() ``` The loader will create three documents with this content: First document: ``` class MyClass: def __init__(self, name): self.name = name def greet(self): print(f"Hello, {self.name}!") ``` Second document: ``` def main(): name = input("Enter your name: ") obj = MyClass(name) obj.greet() ``` Third document: ``` # Code for: class MyClass: # Code for: def main(): if __name__ == '__main__': main() ``` A threshold parameter is added to control whether small scripts are split in this way or not. At this moment, only Python and JavaScript are supported. The appropriate parser is determined by examining the file extension. #### Tests This PR adds: - Unit tests - Integration tests #### Dependencies Only one dependency was added as optional (needed for the JavaScript parser). #### Documentation A notebook is added showing how the loader can be used. #### Who can review? @eyurtsev @hwchase17 --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Robert Lewis	da462d9dd4	Zapier update oauth support (#6780 ) Description: Update documentation to 1) point to updated documentation links at Zapier.com (we've revamped our help docs and paths), and 2) To provide clarity how to use the wrapper with an access token for OAuth support Demo: Initializing the Zapier Wrapper with an OAuth Access Token `ZapierNLAWrapper(zapier_nla_oauth_access_token="<redacted>")` Using LangChain to resolve the current weather in Vancouver BC leveraging Zapier NLA to lookup weather by coords. ``` > Entering new chain... I need to use a tool to get the current weather. Action: The Weather: Get Current Weather Action Input: Get the current weather for Vancouver BC Observation: {"coord__lon": -123.1207, "coord__lat": 49.2827, "weather": [{"id": 802, "main": "Clouds", "description": "scattered clouds", "icon": "03d", "icon_url": "http://openweathermap.org/img/wn/03d@2x.png"}], "weather[]icon_url": ["http://openweathermap.org/img/wn/03d@2x.png"], "weather[]icon": ["03d"], "weather[]id": [802], "weather[]description": ["scattered clouds"], "weather[]main": ["Clouds"], "base": "stations", "main__temp": 71.69, "main__feels_like": 71.56, "main__temp_min": 67.64, "main__temp_max": 76.39, "main__pressure": 1015, "main__humidity": 64, "visibility": 10000, "wind__speed": 3, "wind__deg": 155, "wind__gust": 11.01, "clouds__all": 41, "dt": 1687806607, "sys__type": 2, "sys__id": 2011597, "sys__country": "CA", "sys__sunrise": 1687781297, "sys__sunset": 1687839730, "timezone": -25200, "id": 6173331, "name": "Vancouver", "cod": 200, "summary": "scattered clouds", "_zap_search_was_found_status": true} Thought: I now know the current weather in Vancouver BC. Final Answer: The current weather in Vancouver BC is scattered clouds with a temperature of 71.69 and wind speed of 3 ```	1 year ago
Joshua Carroll	24e4ae95ba	Initial Streamlit callback integration doc (md) (#6788 ) Description: Add a documentation page for the Streamlit Callback Handler integration (#6315) Notes: - Implemented as a markdown file instead of a notebook since example code runs in a Streamlit app (happy to discuss / consider alternatives now or later) - Contains an embedded Streamlit app -> https://mrkl-minimal.streamlit.app/ Currently this app is hosted out of a Streamlit repo but we're working to migrate the code to a LangChain owned repo ![streamlit_docs](https://github.com/hwchase17/langchain/assets/116604821/0b7a6239-361f-470c-8539-f22c40098d1a) cc @dev2049 @tconkling	1 year ago
Zander Chase	e1fdb67440	Update description in Evals notebook (#6808 )	1 year ago
Zander Chase	ad028bbb80	Permit Constitutional Principles (#6807 ) In the criteria evaluator.	1 year ago
WaseemH	7ac9b22886	`RecusiveUrlLoader` to `RecursiveUrlLoader` (#6787 )	1 year ago
Leonid Ganeline	49c864fa18	docs: vectorstore upgrades 2 (#6796 ) updated vectorstores/ notebooks; added new integrations into ecosystem/integrations/ @dev2049 @rlancemartin, @eyurtsev	1 year ago
Zander Chase	d7dbf4aefe	Clean up agent trajectory interface (#6799 ) - Enable reference - Enable not specifying tools at the start - Add methods with keywords	1 year ago
Zander Chase	cc60fed3be	Add a Pairwise Comparison Chain (#6703 ) Notebook shows preference scoring between two chains and reports wilson score interval + p value I think I'll add the option to insert ground truth labels but doesn't have to be in this PR	1 year ago
Zander Chase	c460b04c64	Update String Evaluator (#6615 ) - Add protocol for `evaluate_strings` - Move the criteria evaluator out so it's not restricted to being applied on traced runs	1 year ago
Chris Pappalardo	70f7c2bb2e	align chroma vectorstore get with chromadb to enable where filtering (#6686 ) allows for where filtering on collection via get - Description: aligns langchain chroma vectorstore get with underlying [chromadb collection get](https://github.com/chroma-core/chroma/blob/main/chromadb/api/models/Collection.py#L103) allowing for where filtering, etc. - Issue: NA - Dependencies: none - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: @pappanaka	1 year ago
Santiago Delgado	d84a3bcf7a	Office365 Tool (#6306 ) #### Background With the development of [structured tools](https://blog.langchain.dev/structured-tools/), the LangChain team expanded the platform's functionality to meet the needs of new applications. The GMail tool, empowered by structured tools, now supports multiple arguments and powerful search capabilities, demonstrating LangChain's ability to interact with dynamic data sources like email servers. #### Challenge The current GMail tool only supports GMail, while users often utilize other email services like Outlook in Office365. Additionally, the proposed calendar tool in PR https://github.com/hwchase17/langchain/pull/652 only works with Google Calendar, not Outlook. #### Changes This PR implements an Office365 integration for LangChain, enabling seamless email and calendar functionality with a single authentication process. #### Future Work With the core Office365 integration complete, future work could include integrating other Office365 tools such as Tasks and Address Book. #### Who can review? @hwchase17 or @vowelparrot can review this PR #### Appendix @janscas, I utilized your [O365](https://github.com/O365/python-o365) library extensively. Given the rising popularity of LangChain and similar AI frameworks, the convergence of libraries like O365 and tools like this one is likely. So, I wanted to keep you updated on our progress. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Pau Ramon Revilla	87802c86d9	Added a MHTML document loader (#6311 ) MHTML is a very interesting format since it's used both for emails but also for archived webpages. Some scraping projects want to store pages in disk to process them later, mhtml is perfect for that use case. This is heavily inspired from the beautifulsoup html loader, but extracting the html part from the mhtml file. --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Matt Robinson	be68f6f8ce	feat: Add `UnstructuredRSTLoader` (#6594 ) ### Summary Adds an `UnstructuredRSTLoader` for loading [reStructuredText](https://en.wikipedia.org/wiki/ReStructuredText) file. ### Testing ```python from langchain.document_loaders import UnstructuredRSTLoader loader = UnstructuredRSTLoader( file_path="example_data/README.rst", mode="elements" ) docs = loader.load() print(docs[0]) ``` ### Reviewers - @hwchase17 - @rlancemartin - @eyurtsev	1 year ago
刘方瑞	9d1b3bab76	Fix Typo in LangChain MyScale Integration Doc (#6705 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @dev2049 - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @dev2049 - Memory: @hwchase17 - Agents / Tools / Toolkits: @vowelparrot - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> - Description: Fix Typo in LangChain MyScale Integration Doc @hwchase17	1 year ago
Baichuan Sun	9fbe346860	Amazon API Gateway hosted LLM (#6673 ) This PR adds a new LLM class for the Amazon API Gateway hosted LLM. The PR also includes example notebooks for using the LLM class in an Agent chain. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Davis Chase	f1e1ac2a01	chroma nb close img tag (#6669 )	1 year ago
Davis Chase	5e5b30b74f	openapi -> openai nit (#6667 )	1 year ago
Jeff Huber	2acf109c4b	update chroma notebook (#6664 ) @rlancemartin I updated the notebook for Chroma to hopefully be a lot easier for users.	1 year ago
Piyush Jain	b1de927f1b	Kendra retriever api (#6616 ) ## Description Replaces [Kendra Retriever](https://github.com/hwchase17/langchain/blob/master/langchain/retrievers/aws_kendra_index_retriever.py) with an updated version that uses the new [retriever API](https://docs.aws.amazon.com/kendra/latest/dg/searching-retrieve.html) which is better suited for retrieval augmented generation (RAG) systems. Note: This change requires the latest version (1.26.159) of boto3 to work. `pip install -U boto3` to upgrade the boto3 version. cc @hupe1980 cc @dev2049	1 year ago
Ikko Eltociear Ashimine	73da193a4b	Fix typo in myscale_self_query.ipynb (#6601 )	1 year ago
Aaron Pham	082976d8d0	fix(docs): broken link for OpenLLM (#6622 ) This link for the notebook of OpenLLM is not migrated to the new format Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com> <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @dev2049 - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @dev2049 - Memory: @hwchase17 - Agents / Tools / Toolkits: @vowelparrot - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com>	1 year ago
Lance Martin	c2b25c17c5	Recursive URL loader (#6455 ) We may want to process load all URLs under a root directory. For example, let's look at the [LangChain JS documentation](https://js.langchain.com/docs/). This has many interesting child pages that we may want to read in bulk. Of course, the `WebBaseLoader` can load a list of pages. But, the challenge is traversing the tree of child pages and actually assembling that list! We do this using the `RecusiveUrlLoader`. This also gives us the flexibility to exclude some children (e.g., the `api` directory with > 800 child pages).	1 year ago
Lance Martin	393f469eb3	Create merge loader that combines documents from a set of loaders (#6659 ) Simple utility loader that combines documents from a set of specified loaders.	1 year ago
Davis Chase	6988039975	openapi_openai docstring (#6661 )	1 year ago
Davis Chase	e013459b18	Openapi to openai (#6658 )	1 year ago
Lance Martin	6e69bfbb28	Loader for OpenCityData and minor cleanups to Pandas, Airtable loaders (#6301 ) Many cities have open data portals for events like crime, traffic, etc. Socrata provides an API for many, including SF (e.g., see [here](https://dev.socrata.com/foundry/data.sfgov.org/tmnf-yvry)). This is a new data loader for city data that uses Socrata API.	1 year ago
Christoph Kahl	9d42621fa4	added redis method to delete entries by keys (#6222 ) In addition to my last pr (return keys of added entries), we also need a method to delete the entries by keys. @dev2049	1 year ago
Harrison Chase	a9108c1809	add mongo (HOLD) (#6437 ) do not merge in	1 year ago
Lance Martin	30f7288082	MD header text splitter returns Documents (#6571 ) Return `Documents` from MD header text splitter to simplify UX. Updates the test as well as example notebooks.	1 year ago
minhajul-clarifai	6e57306a13	Clarifai integration (#5954 ) # Changes This PR adds [Clarifai](https://www.clarifai.com/) integration to Langchain. Clarifai is an end-to-end AI Platform. Clarifai offers user the ability to use many types of LLM (OpenAI, cohere, ect and other open source models). As well, a clarifai app can be treated as a vector database to upload and retrieve data. The integrations includes: - Clarifai LLM integration: Clarifai supports many types of language model that users can utilize for their application - Clarifai VectorDB: A Clarifai application can hold data and embeddings. You can run semantic search with the embeddings #### Before submitting - [x] Added integration test for LLM - [x] Added integration test for VectorDB - [x] Added notebook for LLM - [x] Added notebook for VectorDB Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Jeroen Van Goey	7f6f5c2a6a	Add missing word in comment (#6587 ) Changed ``` # Do this so we can exactly what's going on under the hood ``` to ``` # Do this so we can see exactly what's going on under the hood ```	1 year ago
Davis Chase	d50de2728f	Add AzureML endpoint LLM wrapper (#6580 ) ### Description We have added a new LLM integration `azureml_endpoint` that allows users to leverage models from the AzureML platform. Microsoft recently announced the release of [Azure Foundation Models](https://learn.microsoft.com/en-us/azure/machine-learning/concept-foundation-models?view=azureml-api-2) which users can find in the AzureML Model Catalog. The Model Catalog contains a variety of open source and Hugging Face models that users can deploy on AzureML. The `azureml_endpoint` allows LangChain users to use the deployed Azure Foundation Models. ### Dependencies No added dependencies were required for the change. ### Tests Integration tests were added in `tests/integration_tests/llms/test_azureml_endpoint.py`. ### Notebook A Jupyter notebook demonstrating how to use `azureml_endpoint` was added to `docs/modules/llms/integrations/azureml_endpoint_example.ipynb`. ### Twitters [Prakhar Gupta](https://twitter.com/prakhar_in) [Matthew DeGuzman](https://twitter.com/matthew_d13) --------- Co-authored-by: Matthew DeGuzman <91019033+matthewdeguzman@users.noreply.github.com> Co-authored-by: prakharg-msft <75808410+prakharg-msft@users.noreply.github.com>	1 year ago
Davis Chase	4fabd02d25	Add OpenLLM wrapper(#6578 ) LLM wrapper for models served with OpenLLM --------- Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com> Authored-by: Aaron Pham <29749331+aarnphm@users.noreply.github.com> Co-authored-by: Chaoyu <paranoyang@gmail.com>	1 year ago
Harrison Chase	937a7e93f2	add motherduck docs (#6572 )	1 year ago
Muhammad Vaid	ae81b96b60	Detailed using the Twilio tool to send messages with 3rd party apps incl. WhatsApp (#6562 ) Everything needed to support sending messages over WhatsApp Business Platform (GA), Facebook Messenger (Public Beta) and Google Business Messages (Private Beta) was present. Just added some details on leveraging it.	1 year ago
Gengliang Wang	0673245d0c	Remove duplicate databricks entries in ecosystem integrations (#6569 ) Currently, there are two Databricks entries in https://python.langchain.com/docs/ecosystem/integrations/ <img width="277" alt="image" src="https://github.com/hwchase17/langchain/assets/1097932/86ab4ad2-6bce-4459-9d56-1ab2fbb69f6d"> The reason is that there are duplicated notebooks for Databricks integration: * https://github.com/hwchase17/langchain/blob/master/docs/extras/ecosystem/integrations/databricks.ipynb * https://github.com/hwchase17/langchain/blob/master/docs/extras/ecosystem/integrations/databricks/databricks.ipynb This PR is to remove the second one for simplicity.	1 year ago
Andrey E. Vedishchev	a2a0715bd4	Minor Grammar Fixes in Docs and Comments (#6536 ) Just some grammar fixes: I found "retriver" instead of "retriever" in several comments across the documentation and in the comments. I fixed it. Co-authored-by: andrey.vedishchev <andrey.vedishchev@rgigroup.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
dirtysalt	57cc3d1d3d	[Feature][VectorStore] Support StarRocks as vector db (#6119 ) <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> <!-- Remove if not applicable --> Fixes # (issue) #### Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> Here are some examples to use StarRocks as vectordb ``` from langchain.vectorstores import StarRocks from langchain.vectorstores.starrocks import StarRocksSettings embeddings = OpenAIEmbeddings() # conifgure starrocks settings settings = StarRocksSettings() settings.port = 41003 settings.host = '127.0.0.1' settings.username = 'root' settings.password = '' settings.database = 'zya' # to fill new embeddings docsearch = StarRocks.from_documents(split_docs, embeddings, config = settings) # or to use already-built embeddings in database. docsearch = StarRocks(embeddings, settings) ``` #### Who can review? Tag maintainers/contributors who might be interested: @dev2049 <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @hwchase17 VectorStores / Retrievers / Memory - @dev2049 --> --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Harrison Chase	ace442b992	bump to ver 208 (#6540 )	1 year ago
Harrison Chase	53c1f120a8	Harrison/multi tool (#6518 )	1 year ago
Naman Modi	37a89918e0	Infino integration for simplified logs, metrics & search across LLM data & token usage (#6218 ) ### Integration of Infino with LangChain for Enhanced Observability This PR aims to integrate [Infino](https://github.com/infinohq/infino), an open source observability platform written in rust for storing metrics and logs at scale, with LangChain, providing users with a streamlined and efficient method of tracking and recording LangChain experiments. By incorporating Infino into LangChain, users will be able to gain valuable insights and easily analyze the behavior of their language models. #### Please refer to the following files related to integration: - `InfinoCallbackHandler`: A [callback handler](https://github.com/naman-modi/langchain/blob/feature/infino-integration/langchain/callbacks/infino_callback.py) specifically designed for storing chain responses within Infino. - Example `infino.ipynb` file: A comprehensive notebook named [infino.ipynb](https://github.com/naman-modi/langchain/blob/feature/infino-integration/docs/extras/modules/callbacks/integrations/infino.ipynb) has been included to guide users on effectively leveraging Infino for tracking LangChain requests. - [Integration Doc](https://github.com/naman-modi/langchain/blob/feature/infino-integration/docs/extras/ecosystem/integrations/infino.mdx) for Infino integration. By integrating Infino, LangChain users will gain access to powerful visualization and debugging capabilities. Infino enables easy tracking of inputs, outputs, token usage, execution time of LLMs. This comprehensive observability ensures a deeper understanding of individual executions and facilitates effective debugging. Co-authors: @vinaykakade @savannahar68 --------- Co-authored-by: Vinay Kakade <vinaykakade@gmail.com>	1 year ago
Anubhav Bindlish	94c7899257	Integrate Rockset as Vectorstore (#6216 ) This PR adds Rockset as a vectorstore for langchain. [Rockset](https://rockset.com/blog/introducing-vector-search-on-rockset/) is a real time OLAP database which provides a fast and efficient vector search functionality. Further since it is entirely schemaless, it can store metadata in separate columns thereby allowing fast metadata filters during vector similarity search (as opposed to storing the entire metadata in a single JSON column). It currently supports three distance functions: `COSINE_SIMILARITY`, `EUCLIDEAN_DISTANCE`, and `DOT_PRODUCT`. This PR adds `rockset` client as an optional dependency. We would love a twitter shoutout, our handle is https://twitter.com/RocksetCloud --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
ElReyZero	ab7ecc9c30	Feat: Add a prompt template parameter to qa with structure chains (#6495 ) This pull request introduces a new feature to the LangChain QA Retrieval Chains with Structures. The change involves adding a prompt template as an optional parameter for the RetrievalQA chains that utilize the recently implemented OpenAI Functions. The main purpose of this enhancement is to provide users with the ability to input a more customizable prompt to the chain. By introducing a prompt template as an optional parameter, users can tailor the prompt to their specific needs and context, thereby improving the flexibility and effectiveness of the RetrievalQA chains. ## Changes Made - Created a new optional parameter, "prompt", for the RetrievalQA with structure chains. - Added an example to the RetrievalQA with sources notebook. My twitter handle is @El_Rey_Zero --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Hassan Ouda	456ca3d587	Be able to use Codey models on Vertex AI (#6354 ) Added the functionality to leverage 3 new Codey models from Vertex AI: - code-bison - Code generation using the existing LLM integration - code-gecko - Code completion using the existing LLM integration - codechat-bison - Code chat using the existing chat_model integration --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
囧囧	0fce8ef178	Add KuzuQAChain (#6454 ) This PR adds `KuzuGraph` and `KuzuQAChain` for interacting with [Kùzu database](https://github.com/kuzudb/kuzu). Kùzu is an in-process property graph database management system (GDBMS) built for query speed and scalability. The `KuzuGraph` and `KuzuQAChain` provide the same functionality as the existing integration with NebulaGraph and Neo4j and enables query generation and question answering over Kùzu database. A notebook example and a simple test case have also been added. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
TheOnlyWayUp	bb437646fc	typo(llamacpp.ipynb): 'condiser' -> 'consider' (#6474 )	1 year ago
Davis Chase	c91cf68754	Fix link (#6501 )	1 year ago
Davis Chase	3298bf4f00	docs/fix links (#6498 )	1 year ago
Lance Martin	ae6196507d	Update notebook for MD header splitter and create new cookbook (#6399 ) Move MD header text splitter example to its own cookbook.	1 year ago
Stefano Lottini	22af93d851	Vector store support for Cassandra (#6426 ) This addresses #6291 adding support for using Cassandra (and compatible databases, such as DataStax Astra DB) as a [Vector Store](https://cwiki.apache.org/confluence/display/CASSANDRA/CEP-30%3A+Approximate+Nearest+Neighbor(ANN)+Vector+Search+via+Storage-Attached+Indexes). A new class `Cassandra` is introduced, which complies with the contract and interface for a vector store, along with the corresponding integration test, a sample notebook and modified dependency toml. Dependencies: the implementation relies on the library `cassio`, which simplifies interacting with Cassandra for ML- and LLM-oriented workloads. CassIO, in turn, uses the `cassandra-driver` low-lever drivers to communicate with the database. The former is added as optional dependency (+ in `extended_testing`), the latter was already in the project. Integration testing relies on a locally-running instance of Cassandra. [Here](https://cassio.org/more_info/#use-a-local-vector-capable-cassandra) a detailed description can be found on how to compile and run it (at the time of writing the feature has not made it yet to a release). During development of the integration tests, I added a new "fake embedding" class for what I consider a more controlled way of testing the MMR search method. Likewise, I had to amend what looked like a glitch in the behaviour of `ConsistentFakeEmbeddings` whereby an `embed_query` call would have bypassed storage of the requested text in the class cache for use in later repeated invocations. @dev2049 might be the right person to tag here for a review. Thank you! --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
zhaoshengbo	ab44c24333	Add Alibaba Cloud OpenSearch as a new vector store (#6154 ) Hello Folks, Thanks for creating and maintaining this great project. I'm excited to submit this PR to add Alibaba Cloud OpenSearch as a new vector store. OpenSearch is a one-stop platform to develop intelligent search services. OpenSearch was built based on the large-scale distributed search engine developed by Alibaba. OpenSearch serves more than 500 business cases in Alibaba Group and thousands of Alibaba Cloud customers. OpenSearch helps develop search services in different search scenarios, including e-commerce, O2O, multimedia, the content industry, communities and forums, and big data query in enterprises. OpenSearch provides the vector search feature. In specific scenarios, especially test question search and image search scenarios, you can use the vector search feature together with the multimodal search feature to improve the accuracy of search results. This PR includes: A AlibabaCloudOpenSearch class that can connect to the Alibaba Cloud OpenSearch instance. add embedings and metadata into a opensearch datasource. querying by squared euclidean and metadata. integration tests. ipython notebook and docs. I have read your contributing guidelines. And I have passed the tests below - [x] make format - [x] make lint - [x] make coverage - [x] make test --------- Co-authored-by: zhaoshengbo <shengbo.zsb@alibaba-inc.com>	1 year ago
Davis Chase	b7ad4c4c30	fix openai qa chain (#6487 )	1 year ago
Harrison Chase	9eec7c3206	Harrison/unstructured page number (#6464 ) Co-authored-by: Reza Sanaie <reza@sanaie.ca>	1 year ago
Grayson Adkins	9f5f747dc3	Fix broken links in autonomous agents docs (#6398 ) Fixes broken links here: https://python.langchain.com/docs/use_cases/autonomous_agents.html #### Who can review? Tag maintainers/contributors who might be interested: Agents / Tools / Toolkits - @hwchase17	1 year ago
volodymyr-memsql	d2e9b621ab	Update SinglStoreDB vectorstore (#6423 ) 1. Introduced new distance strategies support: DOT_PRODUCT and EUCLIDEAN_DISTANCE for enhanced flexibility. 2. Implemented a feature to filter results based on metadata fields. 3. Incorporated connection attributes specifying "langchain python sdk" usage for enhanced traceability and debugging. 4. Expanded the suite of integration tests for improved code reliability. 5. Updated the existing notebook with the usage example @dev2049 --------- Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	02c0a1e77e	Harrison/functions in retrieval (#6463 )	1 year ago
kYLe	3a58c4c3a0	Fixed a link typo /-/route -> /-/routes. and change endpoint format (#6186 ) <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> <!-- Remove if not applicable --> Fixes a link typo from `/-/route` to `/-/routes`. and change endpoint format from `f"{self.anyscale_service_url}/{self.anyscale_service_route}"` to `f"{self.anyscale_service_url}{self.anyscale_service_route}"` Also adding documentation about the format of the endpoint #### Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> #### Who can review? Tag maintainers/contributors who might be interested: <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @hwchase17 VectorStores / Retrievers / Memory - @dev2049 --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago

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