langchain

Commit Graph

Author	SHA1	Message	Date
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
Jeroen Van Goey	f5bd88757e	Fix typo (#7416 ) `quesitons` -> `questions`.	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
nikkie	2eb4a2ceea	docs(retrievers/get-started): Fix broken state_of_the_union.txt link (#7399 ) Thank you for this awesome library. - Description: Fix broken link in documentation - Issue: - https://python.langchain.com/docs/modules/data_connection/retrievers/#get-started - the URL: https://github.com/hwchase17/langchain/blob/master/docs/modules/state_of_the_union.txt - I think the right one is https://github.com/hwchase17/langchain/blob/master/docs/extras/modules/state_of_the_union.txt - Dependencies: - - Tag maintainer: @baskaryan - Twitter handle: -	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
William FH	4789c99bc2	Add String Distance and Embedding Evaluators (#7123 ) Add a string evaluator and pairwise string evaluator implementation for: - Embedding distance - String distance Update docs	1 year ago
Bagatur	1ac347b4e3	update databerry-chaindesk redirect (#7378 )	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
Bagatur	fd7145970f	Output parser redirect (#7330 ) Related to ##7311	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
Bagatur	a6b39afe0e	rm side nav (#7297 )	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
Leonid Ganeline	4450791edd	docs: tutorials update (#7230 ) updated `tutorials.mdx`: - added a link to new `Deeplearning AI` course on LangChain - added links to other tutorial videos - fixed format @baskaryan, @hwchase17	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
Jeroen Van Goey	887bb12287	Use correct Language for html_splitter (#7274 ) `html_splitter` was using `Language.MARKDOWN`.	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
Nicolas	490fcf9d98	docs: New experimental UI for Mendable Search (#6558 ) This PR introduces a new Mendable UI tailored to a better search experience. We're more closely integrating our traditional search with our AI generation. With this change, you won't have to tab back and forth between the mendable bot and the keyword search. Both types of search are handled in the same bar. This should make the docs easier to navigate. while still letting users get code generations or AI-summarized answers if they so wish. Also, it should reduce the cost. Would love to hear your feedback :) Cc: @dev2049 @hwchase17	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
Leonid Ganeline	16fbd528c5	docs: commented out `editUrl` option (#6440 )	1 year ago
adam91holt	80e86b602e	Remove duplicate mongodb integration doc (#7006 )	1 year ago
joaomsimoes	c669d98693	Update get_started.mdx (#7005 ) typo in chat = ChatOpenAI(open_api_key="...") should be openai_api_key	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
Bagatur	7acd524210	Rm retriever kwargs (#7013 ) Doesn't actually limit the Retriever interface but hopefully in practice it does	1 year ago
Johnny Lim	9dc77614e3	Polish reference docs (#7045 ) This PR fixes broken links in the reference docs.	1 year ago
Johnny Lim	052c797429	Fix typo (#7023 ) This PR fixes a typo.	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
Matthew Foster Walsh	59697b406d	Fix typo in quickstart.mdx (#6985 ) Removed an extra "to" from a sentence. @dev2049 very minor documentation fix.	1 year ago
Paul Grillenberger	aa37b10b28	Fix: Correct typo (#6988 ) Description: Correct a minor typo in the docs. @dev2049	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
Davis Chase	eb180e321f	Page per class-style api reference (#6560 ) can make it prettier, but what do we think of overall structure? https://api.python.langchain.com/en/dev2049-page_per_class/api_ref.html --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Nuno Campos <nuno@boringbits.io>	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	bd6a0ee9e9	Redirect vecstores (#6948 )	1 year ago
Davis Chase	f780678910	Add back in clickhouse mongo vecstore notebooks (#6949 )	1 year ago
Jacob Lee	73831ef3d8	Change code block color scheme (#6945 ) Adds contrast, makes code blocks more readable.	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
Harrison Chase	3ac08c3de4	Harrison/octo ml (#6897 ) Co-authored-by: Bassem Yacoube <125713079+AI-Bassem@users.noreply.github.com> Co-authored-by: Shotaro Kohama <khmshtr28@gmail.com> Co-authored-by: Rian Dolphin <34861538+rian-dolphin@users.noreply.github.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com> Co-authored-by: Shashank Deshpande <shashankdeshpande18@gmail.com>	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
Davis Chase	f07dd02b50	Docs /redirects (#6790 ) Auto-generated a bunch of redirects from initial docs refactor commit	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

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