langchain

Commit Graph

Author	SHA1	Message	Date
Rian Dolphin	2e39ede848	add with score option for max marginal relevance (#6867 ) ### Adding the functionality to return the scores with retrieved documents when using the max marginal relevance - Description: Add the method `max_marginal_relevance_search_with_score_by_vector` to the FAISS wrapper. Functionality operates the same as `similarity_search_with_score_by_vector` except for using the max marginal relevance retrieval framework like is used in the `max_marginal_relevance_search_by_vector` method. - Dependencies: None - Tag maintainer: @rlancemartin @eyurtsev - Twitter handle: @RianDolphin --------- 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
Ayan Bandyopadhyay	f92ccf70fd	Update to the latest Psychic python library version (#6804 ) Update the Psychic document loader to use the latest `psychicapi` python library version: `0.8.0`	1 year ago
Matthew Plachter	d6664af0ee	add async to zapier nla tools (#6791 ) Replace this comment with: - Description: Add Async functionality to Zapier NLA Tools - Issue: n/a - Dependencies: n/a - Tag maintainer: Maintainer responsibilities: - Agents / Tools / Toolkits: @vowelparrot - 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
Augustine Theodore	a980095efc	Enhancement : Ignore deleted messages and media in WhatsAppChatLoader (#6839 ) - Description: Ignore deleted messages and media - Issue: #6838 - Dependencies: No new dependencies - Tag maintainer: @rlancemartin, @eyurtsev	1 year ago
Robert Lewis	74848aafea	Zapier - Add better error messaging for 401 responses (#6840 ) Description: When a 401 response is given back by Zapier, hint to the end user why that may have occurred - If an API Key was initialized with the wrapper, ask them to check their API Key value - if an access token was initialized with the wrapper, ask them to check their access token or verify that it doesn't need to be refreshed. Tag maintainer: @dev2049	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
Ismail Pelaseyed	fcb3a64799	Add support for passing headers and search params to openai openapi chain (#6782 ) - Description: add support for passing headers and search params to OpenAI OpenAPI chains. - Issue: n/a - Dependencies: n/a - Tag maintainer: @hwchase17 - Twitter handle: @pelaseyed --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Zander Chase	ad028bbb80	Permit Constitutional Principles (#6807 ) In the criteria evaluator.	1 year ago
Zander Chase	6ca383ecf6	Update to RunOnDataset helper functions to accept evaluator callbacks (#6629 ) Also improve docstrings and update the tracing datasets notebook to focus on "debug, evaluate, monitor"	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
Zander Chase	6d30acffcb	Fix breaking tags (#6765 ) Fix tags change that broke old way of initializing agent Closes #6756	1 year ago
Ethan Bowen	cc33bde74f	Confluence added (#6432 ) Adding Confluence to Jira tool. Can create a page in Confluence with this PR. If accepted, will extend functionality to Bitbucket and additional Confluence features. --------- Co-authored-by: Ethan Bowen <ethan.bowen@slalom.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
Augustine Theodore	afc292e58d	Fix WhatsAppChatLoader : Enable parsing additional formats (#6663 ) - Description: Updated regex to support a new format that was observed when whatsapp chat was exported. - Issue: #6654 - Dependencies: No new dependencies - Tag maintainer: @rlancemartin, @eyurtsev	1 year ago
Ankush Gola	e1b801be36	split up batch llm calls into separate runs (#5804 )	1 year ago
UmerHA	068142fce2	Add caching to BaseChatModel (issue #1644 ) (#5089 ) # Add caching to BaseChatModel Fixes #1644 (Sidenote: While testing, I noticed we have multiple implementations of Fake LLMs, used for testing. I consolidated them.) ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: Models - @hwchase17 - @agola11 Twitter: [@UmerHAdil](https://twitter.com/@UmerHAdil) \| Discord: RicChilligerDude#7589 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
kourosh hakhamaneshi	f6fdabd20b	Fix ray-project/Aviary integration (#6607 ) - Description: The aviary integration has changed url link. This PR provide fix for those changes and also it makes providing the input URL optional to the API (since they can be set via env variables). - Issue: N/A - Dependencies: N/A - Twitter handle: N/A --------- Signed-off-by: Kourosh Hakhamaneshi <kourosh@anyscale.com>	1 year ago
Alejandra De Luna	980c865174	fix: remove callbacks arg from Tool and StructuredTool inferred schema (#6483 ) Fixes #5456 This PR removes the `callbacks` argument from a tool's schema when creating a `Tool` or `StructuredTool` with the `from_function` method and `infer_schema` is set to `True`. The `callbacks` argument is now removed in the `create_schema_from_function` and `_get_filtered_args` methods. As suggested by @vowelparrot, this fix provides a straightforward solution that minimally affects the existing implementation. A test was added to verify that this change enables the expected use of `Tool` and `StructuredTool` when using a `CallbackManager` and inferring the tool's schema. - @hwchase17	1 year ago
Zander Chase	b4fe7f3a09	Session to project (#6249 ) Sessions are being renamed to projects in the tracer	1 year ago
Tim Conkling	c28990d871	StreamlitCallbackHandler (#6315 ) A new implementation of `StreamlitCallbackHandler`. It formats Agent thoughts into Streamlit expanders. You can see the handler in action here: https://langchain-mrkl.streamlit.app/ Per a discussion with Harrison, we'll be adding a `StreamlitCallbackHandler` implementation to an upcoming [Streamlit](https://github.com/streamlit/streamlit) release as well, and will be updating it as we add new LLM- and LangChain-specific features to Streamlit. The idea with this PR is that the LangChain `StreamlitCallbackHandler` will "auto-update" in a way that keeps it forward- (and backward-) compatible with Streamlit. If the user has an older Streamlit version installed, the LangChain `StreamlitCallbackHandler` will be used; if they have a newer Streamlit version that has an updated `StreamlitCallbackHandler`, that implementation will be used instead. (I'm opening this as a draft to get the conversation going and make sure we're on the same page. We're really excited to land this into LangChain!) #### Who can review? @agola11, @hwchase17	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
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
Brendan Graham	d718f3b6d0	feat: interfaces for async embeddings, implement async openai (#6563 ) Since it seems like #6111 will be blocked for a bit, I've forked @tyree731's fork and implemented the requested changes. This change adds support to the base Embeddings class for two methods, aembed_query and aembed_documents, those two methods supporting async equivalents of embed_query and embed_documents respectively. This ever so slightly rounds out async support within langchain, with an initial implementation of this functionality being implemented for openai. Implements https://github.com/hwchase17/langchain/issues/6109 --------- Co-authored-by: Stephen Tyree <tyree731@gmail.com>	1 year ago
Suri Chen	14b9418cc5	Fix whatsappchatloader - enable parsing new datetime format on WhatsApp chat (#6555 ) - Description: observed new format on WhatsApp exported chat - example: `[2023/5/4, 16:17:13] ~ Carolina: 🥺` - Dependencies: no additional dependencies required - Tag maintainer: @rlancemartin, @eyurtsev	1 year ago
HenriZuber	e0605b464b	feat: faiss filter from list (#6537 ) ### Feature Using FAISS on a retrievalQA task, I found myself wanting to allow in multiple sources. From what I understood, the filter feature takes in a dict of form {key: value} which then will check in the metadata for the exact value linked to that key. I added some logic to be able to pass a list which will be checked against instead of an exact value. Passing an exact value will also work. Here's an example of how I could then use it in my own project: ``` pdfs_to_filter_in = ["file_A", "file_B"] filter_dict = { "source": [f"source_pdfs/{pdf_name}.pdf" for pdf_name in pdfs_to_filter_in] } retriever = db.as_retriever() retriever.search_kwargs = {"filter": filter_dict} ``` I added an integration test based on the other ones I found in `tests/integration_tests/vectorstores/test_faiss.py` under `test_faiss_with_metadatas_and_list_filter()`. It doesn't feel like this is worthy of its own notebook or doc, but I'm open to suggestions if needed. Co-authored-by: Dev 2049 <dev.dev2049@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
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
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
thehunmonkgroup	10adec5f1b	add FunctionMessage support to `_convert_dict_to_message()` in OpenAI chat model (#6382 ) Already supported in the reverse operation in `_convert_message_to_dict()`, this just provides parity. @hwchase17 @agola11 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Hubert	22601b0b63	fix neo4j schema query (#6381 ) Fix issue #6380 <!-- Remove if not applicable --> Fixes #6380 (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: @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: HubertKl <HubertKl>	1 year ago
Harrison Chase	9eec7c3206	Harrison/unstructured page number (#6464 ) Co-authored-by: Reza Sanaie <reza@sanaie.ca>	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
Avinash Raj	6efd5fa2b9	Fix for #6431 - chatprompt template with partial variables giing validation error (#6456 ) W.r.t recent changes, ChatPromptTemplate does not accepting partial variables. This PR should fix that issue. Fixes #6431 #### Who can review? @hwchase17 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Swapnil Sharma	dc4ffa8d9b	Incorrect argument count handling (#5543 ) Throwing ToolException when incorrect arguments are passed to tools so that that agent can course correct them. # Incorrect argument count handling I was facing an error where the agent passed incorrect arguments to tools. As per the discussions going around, I started throwing ToolException to allow the model to course correct. ## 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? Community members can review the PR once tests pass. 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 - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Ankush Gola	a9246333fd	fix anthropic chat model mutating input list (#6457 ) <!-- 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: ChatAnthropic was mutating the input message list during formatting which isn't ideal bc you could be changing the behavior for other chat models when using the same input #### 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:	1 year ago
Zander Chase	00f276d23f	Run eval in eval mode (#6447 ) For the `run_on_dataset` sessions	1 year ago
David Duong	be9371ca8f	Include placeholder value for all secrets, not just kwargs (#6421 ) Mirror PR for https://github.com/hwchase17/langchainjs/pull/1696 Secrets passed via environment variables should be present in the serialised chain	1 year ago
Fei Wang	50556f3b35	support memory for functions (#6165 ) #### Before submitting Add memory support for `OpenAIFunctionsAgent` like `StructuredChatAgent`. #### Who can review? @hwchase17 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
hp0404	6aa7b04f79	Fix integration tests for Faiss vector store (#6281 ) Fixes #5807 (issue) #### 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 -->	1 year ago
Tomaz Bratanic	b3bccabc66	Add option to save/load graph cypher QA (#6219 ) Similar as https://github.com/hwchase17/langchain/pull/5818 Added the functionality to save/load Graph Cypher QA Chain due to a user reporting the following error > raise NotImplementedError("Saving not supported for this chain type.")\nNotImplementedError: Saving not supported for this chain type.\n'	1 year ago
Leonid Ganeline	c7ca350cd3	Fix class promotion (#6187 ) In LangChain, all module classes are enumerated in the `__init__.py` file of the correspondent module. But some classes were missed and were not included in the module `__init__.py` This PR: - added the missed classes to the module `__init__.py` files - `__init__.py:__all_` variable value (a list of the class names) was sorted - `langchain.tools.sql_database.tool.QueryCheckerTool` was renamed into the `QuerySQLCheckerTool` because it conflicted with `langchain.tools.spark_sql.tool.QueryCheckerTool` - changes to `pyproject.toml`: - added `pgvector` to `pyproject.toml:extended_testing` - added `pandas` to `pyproject.toml:[tool.poetry.group.test.dependencies]` - commented out the `streamlit` from `collbacks/__init__.py`, It is because now the `streamlit` requires Python >=3.7, !=3.9.7 - fixed duplicate names in `tools` - fixed correspondent ut-s #### Who can review? @hwchase17 @dev2049	1 year ago
Harrison Chase	9bf5b0defa	Harrison/myscale self query (#6376 ) Co-authored-by: Fangrui Liu <fangruil@moqi.ai> Co-authored-by: 刘方瑞 <fangrui.liu@outlook.com> Co-authored-by: Fangrui.Liu <fangrui.liu@ubc.ca>	1 year ago
Harrison Chase	42a28ac1ba	Harrison/error zero tools (#6340 ) Co-authored-by: Juhee Kim <46583939+juppytt@users.noreply.github.com>	1 year ago
Slawomir Gonet	eef62bf4e9	qdrant: search by vector (#6043 ) <!-- 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 --> Added support to `search_by_vector` to Qdrant Vector store. <!-- 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 VectorStores / Retrievers / Memory - @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 -->	1 year ago
Richy Wang	444ca3f669	Improve AnalyticDB Vector Store implementation without affecting user (#6086 ) Hi there: As I implement the AnalyticDB VectorStore use two table to store the document before. It seems just use one table is a better way. So this commit is try to improve AnalyticDB VectorStore implementation without affecting user behavior: 1. Streamline the `post_init `behavior by creating a single table with vector indexing. 2. Update the `add_texts` API for document insertion. 3. Optimize `similarity_search_with_score_by_vector` to retrieve results directly from the table. 4. Implement `_similarity_search_with_relevance_scores`. 5. Add `embedding_dimension` parameter to support different dimension embedding functions. Users can continue using the API as before. Test cases added before is enough to meet this commit.	1 year ago
Saba Sturua	427551eabf	DocArray as a Retriever (#6031 ) ## DocArray as a Retriever [DocArray](https://github.com/docarray/docarray) is an open-source tool for managing your multi-modal data. It offers flexibility to store and search through your data using various document index backends. This PR introduces `DocArrayRetriever` - which works with any available backend and serves as a retriever for Langchain apps. Also, I added 2 notebooks: DocArray Backends - intro to all 5 currently supported backends, how to initialize, index, and use them as a retriever DocArray Usage - showcasing what additional search parameters you can pass to create versatile retrievers Example: ```python from docarray.index import InMemoryExactNNIndex from docarray import BaseDoc, DocList from docarray.typing import NdArray from langchain.embeddings.openai import OpenAIEmbeddings from langchain.retrievers import DocArrayRetriever # define document schema class MyDoc(BaseDoc): description: str description_embedding: NdArray[1536] embeddings = OpenAIEmbeddings() # create documents descriptions = ["description 1", "description 2"] desc_embeddings = embeddings.embed_documents(texts=descriptions) docs = DocList[MyDoc]( [ MyDoc(description=desc, description_embedding=embedding) for desc, embedding in zip(descriptions, desc_embeddings) ] ) # initialize document index with data db = InMemoryExactNNIndex[MyDoc](docs) # create a retriever retriever = DocArrayRetriever( index=db, embeddings=embeddings, search_field="description_embedding", content_field="description", ) # find the relevant document doc = retriever.get_relevant_documents("action movies") print(doc) ``` #### Who can review? @dev2049 --------- Signed-off-by: jupyterjazz <saba.sturua@jina.ai>	1 year ago
Harrison Chase	af18413d97	Harrison/deeplake new features (#6263 ) Co-authored-by: adilkhan <adilkhan.sarsen@nu.edu.kz> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Davis Chase	87e502c6bc	Doc refactor (#6300 ) Co-authored-by: jacoblee93 <jacoblee93@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
hp0404	b01cf0dd54	ArxivAPIWrapper - doc_content_chars_max (#6063 ) This PR refactors the ArxivAPIWrapper class making `doc_content_chars_max` parameter optional. Additionally, tests have been added to ensure the functionality of the doc_content_chars_max parameter. Fixes #6027 (issue)	1 year ago
Zander Chase	ae76e473e1	Add Tags for LLMs (#6229 ) - [x] Add tracing tags to LLMs + Chat Models (both inheritable and local) - [x] Add tags for the run_on_dataset helper function(s)	1 year ago
0xJordan	c5a46e7435	feat: Add support for the Solidity language (#6054 ) <!-- 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! --> ## Add Solidity programming language support for code splitter. Twitter: @0xjord4n_ <!-- 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: @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 -->	1 year ago
Zander Chase	b3b155d488	Return session name in runner response (#6112 ) Makes it easier to then run evals w/o thinking about specifying a session	1 year ago
Nuno Campos	11ab0be11a	Add support for tags (#5898 ) <!-- 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 - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 -->	1 year ago
Harrison Chase	970b2f9d38	convert tools to openai (#6100 )	1 year ago
Lance Martin	ee3d0513ad	Add tests and update notebook for MarkdownHeaderTextSplitter (#6069 ) Add test and update notebook for `MarkdownHeaderTextSplitter`.	1 year ago
Zander Chase	0c52275bdb	Use Run object from SDK (#6067 ) Update the Run object in the tracer to extend that in the SDK to include the parameters necessary for tracking/tracing	1 year ago
Harrison Chase	ec1a2adf9c	improve tools (#6062 )	1 year ago
Julius Lipp	5b6bbf4ab2	Add embaas document extraction api endpoints (#6048 ) # Introduces embaas document extraction api endpoints In this PR, we add support for embaas document extraction endpoints to Text Embedding Models (with LLMs, in different PRs coming). We currently offer the MTEB leaderboard top performers, will continue to add top embedding models and soon add support for customers to deploy thier own models. Additional Documentation + Infomation can be found [here](https://embaas.io). While developing this integration, I closely followed the patterns established by other langchain integrations. Nonetheless, if there are any aspects that require adjustments or if there's a better way to present a new integration, let me know! :) Additionally, I fixed some docs in the embeddings integration. Related PR: #5976 #### Who can review? DataLoaders - @eyurtsev	1 year ago
Jens Madsen	2c91f0d750	chore: spedd up integration test by using smaller model (#6044 ) Adds a new parameter `relative_chunk_overlap` for the `SentenceTransformersTokenTextSplitter` constructor. The parameter sets the chunk overlap using a relative factor, e.g. for a model where the token limit is 100, a `relative_chunk_overlap=0.5` implies that `chunk_overlap=50` Tag maintainers/contributors who might be interested: @hwchase17, @dev2049	1 year ago
Harrison Chase	d1561b74eb	Harrison/cognitive search (#6011 ) Co-authored-by: Fabrizio Ruocco <ruoccofabrizio@gmail.com>	1 year ago
wenmeng zhou	bb7ac9edb5	add dashscope text embedding (#5929 ) #### What I do Adding embedding api for [DashScope](https://help.aliyun.com/product/610100.html), which is the DAMO Academy's multilingual text unified vector model based on the LLM base. It caters to multiple mainstream languages worldwide and offers high-quality vector services, helping developers quickly transform text data into high-quality vector data. Currently supported languages include Chinese, English, Spanish, French, Portuguese, Indonesian, and more. #### Who can review? Models - @hwchase17 - @agola11 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	e05997c25e	Harrison/hologres (#6012 ) Co-authored-by: Changgeng Zhao <changgeng@nyu.edu> Co-authored-by: Changgeng Zhao <zhaochanggeng.zcg@alibaba-inc.com>	1 year ago
Nuno Campos	18af149e91	nc/load (#5733 ) Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	a7227ee01b	Harrison/embaas (#6010 ) Co-authored-by: Julius Lipp <43986145+juliuslipp@users.noreply.github.com>	1 year ago
Akhil Vempali	d7d629911b	feat: ✨ Added filtering option to FAISS vectorstore (#5966 ) Inspired by the filtering capability available in ChromaDB, added the same functionality to the FAISS vectorestore as well. Since FAISS does not have an inbuilt method of filtering used the approach suggested in this [thread](https://github.com/facebookresearch/faiss/issues/1079) Langchain Issue inspiration: https://github.com/hwchase17/langchain/issues/4572 - [x] Added filtering capability to semantic similarly and MMR - [x] Added test cases for filtering in `tests/integration_tests/vectorstores/test_faiss.py` #### Who can review? Tag maintainers/contributors who might be interested: VectorStores / Retrievers / Memory - @dev2049 - @hwchase17	1 year ago
Harrison Chase	704d56e241	support kwargs (#5990 )	1 year ago
Thomas B	ac3e6e3944	Fix IndexError in RecursiveCharacterTextSplitter (#5902 ) Fixes (not reported) an error that may occur in some cases in the RecursiveCharacterTextSplitter. An empty `new_separators` array ([]) would end up in the else path of the condition below and used in a function where it is expected to be non empty. ```python if new_separators is None: ... else: # _split_text() expects this array to be non-empty! other_info = self._split_text(s, new_separators) ``` resulting in an `IndexError` ```python def _split_text(self, text: str, separators: List[str]) -> List[str]: """Split incoming text and return chunks.""" final_chunks = [] # Get appropriate separator to use > separator = separators[-1] E IndexError: list index out of range langchain/text_splitter.py:425: IndexError ``` #### Who can review? @hwchase17 @eyurtsev --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Ofer Mendelevitch	f8cf09a230	Update to Vectara integration (#5950 ) This PR updates the Vectara integration (@hwchase17 ): * Adds reuse of requests.session to imrpove efficiency and speed. * Utilizes Vectara's low-level API (instead of standard API) to better match user's specific chunking with LangChain * Now add_texts puts all the texts into a single Vectara document so indexing is much faster. * updated variables names from alpha to lambda_val (to be consistent with Vectara docs) and added n_context_sentence so it's available to use if needed. * Updates to documentation and tests --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
qued	e4224a396b	feat: Add `UnstructuredXMLLoader` for `.xml` files (#5955 ) # Unstructured XML Loader Adds an `UnstructuredXMLLoader` class for .xml files. Works with unstructured>=0.6.7. A plain text representation of the text with the XML tags will be available under the `page_content` attribute in the doc. ### Testing ```python from langchain.document_loaders import UnstructuredXMLLoader loader = UnstructuredXMLLoader( "example_data/factbook.xml", ) docs = loader.load() ``` ## Who can review? @hwchase17 @eyurtsev	1 year ago
Harrison Chase	9218684759	Add a new vector store - AwaDB (#5971 ) (#5992 ) Added AwaDB vector store, which is a wrapper over the AwaDB, that can be used as a vector storage and has an efficient similarity search. Added integration tests for the vector store Added jupyter notebook with the example Delete a unneeded empty file and resolve the conflict(https://github.com/hwchase17/langchain/pull/5886) Please check, Thanks! @dev2049 @hwchase17 --------- <!-- 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 - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 --> --------- Co-authored-by: ljeagle <vincent_jieli@yeah.net> Co-authored-by: vincent <awadb.vincent@gmail.com>	1 year ago
Tomaz Bratanic	d5819a7ca7	Add additional parameters to Graph Cypher Chain (#5979 ) Based on the inspiration from the SQL chain, the following three parameters are added to Graph Cypher Chain. - top_k: Limited the number of results from the database to be used as context - return_direct: Return database results without transforming them to natural language - return_intermediate_steps: Return intermediate steps	1 year ago
Harrison Chase	ca1afa7213	add test for structured tools (#5989 )	1 year ago
German Martin	736a1819aa	LOTR: Lord of the Retrievers. A retriever that merge several retrievers together applying document_formatters to them. (#5798 ) "One Retriever to merge them all, One Retriever to expose them, One Retriever to bring them all and in and process them with Document formatters." Hi @dev2049! Here bothering people again! I'm using this simple idea to deal with merging the output of several retrievers into one. I'm aware of DocumentCompressorPipeline and ContextualCompressionRetriever but I don't think they allow us to do something like this. Also I was getting in trouble to get the pipeline working too. Please correct me if i'm wrong. This allow to do some sort of "retrieval" preprocessing and then using the retrieval with the curated results anywhere you could use a retriever. My use case is to generate diff indexes with diff embeddings and sources for a more colorful results then filtering them with one or many document formatters. I saw some people looking for something like this, here: https://github.com/hwchase17/langchain/issues/3991 and something similar here: https://github.com/hwchase17/langchain/issues/5555 This is just a proposal I know I'm missing tests , etc. If you think this is a worth it idea I can work on tests and anything you want to change. Let me know! --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
felpigeon	2791a753bf	Add start index to metadata in TextSplitter (#5912 ) <!-- 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! --> #### Add start index to metadata in TextSplitter - Modified method `create_documents` to track start position of each chunk - The `start_index` is included in the metadata if the `add_start_index` parameter in the class constructor is set to `True` This enables referencing back to the original document, particularly useful when a specific chunk is retrieved. <!-- 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: @eyurtsev @agola11 <!-- 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 - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 -->	1 year ago
Philip Kiely - Baseten	a09a0e3511	Baseten integration (#5862 ) This PR adds a Baseten integration. I've done my best to follow the contributor's guidelines and add docs, an example notebook, and an integration test modeled after similar integrations' test. Please let me know if there is anything I can do to improve the PR. When it is merged, please tag https://twitter.com/basetenco and https://twitter.com/philip_kiely as contributors (the note on the PR template said to include Twitter accounts)	1 year ago
Harrison Chase	35cfd25db3	Harrison/nebula graph (#5865 ) Co-authored-by: Wey Gu <weyl.gu@gmail.com> Co-authored-by: chenweisomebody <chenweisomebody@gmail.com>	1 year ago
Harrison Chase	658f8bdee7	Harrison/fauna loader (#5864 ) Co-authored-by: Shadid12 <Shadid12@users.noreply.github.com>	1 year ago
Liang Zhang	5518f24ec3	Implement saving and loading of RetrievalQA chain (#5818 ) <!-- 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 #3983 Mimicing what we do for saving and loading VectorDBQA chain, I added the logic for RetrievalQA chain. Also added a unit test. I did not find how we test other chains for their saving and loading functionality, so I just added a file with one test case. Let me know if there are recommended ways to test it. #### 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: @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 - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
volodymyr-memsql	a1549901ce	Added SingleStoreDB Vector Store (#5619 ) - Added `SingleStoreDB` vector store, which is a wrapper over the SingleStore DB database, that can be used as a vector storage and has an efficient similarity search. - Added integration tests for the vector store - Added jupyter notebook with the example @dev2049 --------- Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
bnassivet	9355e3f5f5	qdrant vector store - search with relevancy scores (#5781 ) Implementation of similarity_search_with_relevance_scores for quadrant vector store. As implemented the method is also compatible with other capacities such as filtering. Integration tests updated. #### Who can review? Tag maintainers/contributors who might be interested: VectorStores / Retrievers / Memory - @dev2049	1 year ago
Matt Robinson	11fec7d4d1	feat: Add `UnstructuredCSVLoader` for CSV files (#5844 ) ### Summary Adds an `UnstructuredCSVLoader` for loading CSVs. One advantage of using `UnstructuredCSVLoader` relative to the standard `CSVLoader` is that if you use `UnstructuredCSVLoader` in `"elements"` mode, an HTML representation of the table will be available in the metadata. #### Who can review? @hwchase17 @eyurtsev	1 year ago
Yessen Kanapin	c66755b661	Add DeepInfra embeddings integration with tests and examples, better exception handling for Deep Infra LLM (#5854 ) #### Who can review? Tag maintainers/contributors who might be interested: @hwchase17 - project lead - @agola11 --------- Co-authored-by: Yessen Kanapin <yessen@deepinfra.com>	1 year ago
bnassivet	062c3c00a2	fixed faiss integ tests (#5808 ) Fixes # 5807 Realigned tests with implementation. Also reinforced folder unicity for the test_faiss_local_save_load test using date-time suffix #### Before submitting - Integration test updated - formatting and linting ok (locally) #### Who can review? Tag maintainers/contributors who might be interested: @hwchase17 - project lead VectorStores / Retrievers / Memory -@dev2049	1 year ago
Lance Martin	4092fd21dc	YoutubeAudioLoader and updates to OpenAIWhisperParser (#5772 ) This introduces the `YoutubeAudioLoader`, which will load blobs from a YouTube url and write them. Blobs are then parsed by `OpenAIWhisperParser()`, as show in this [PR](https://github.com/hwchase17/langchain/pull/5580), but we extend the parser to split audio such that each chuck meets the 25MB OpenAI size limit. As shown in the notebook, this enables a very simple UX: ``` # Transcribe the video to text loader = GenericLoader(YoutubeAudioLoader([url],save_dir),OpenAIWhisperParser()) docs = loader.load() ``` Tested on full set of Karpathy lecture videos: ``` # Karpathy lecture videos urls = ["https://youtu.be/VMj-3S1tku0" "https://youtu.be/PaCmpygFfXo", "https://youtu.be/TCH_1BHY58I", "https://youtu.be/P6sfmUTpUmc", "https://youtu.be/q8SA3rM6ckI", "https://youtu.be/t3YJ5hKiMQ0", "https://youtu.be/kCc8FmEb1nY"] # Directory to save audio files save_dir = "~/Downloads/YouTube" # Transcribe the videos to text loader = GenericLoader(YoutubeAudioLoader(urls,save_dir),OpenAIWhisperParser()) docs = loader.load() ```	1 year ago
Ankush Gola	b177a29d3f	support returning run info for llms, chat models and chains (#5666 ) returning the run id is important for accessing the run later on	1 year ago
Yoann Poupart	65111eb2b3	Attribute support for html tags (#5782 ) # What does this PR do? Change the HTML tags so that a tag with attributes can be found. ## Before submitting - [x] Tests added - [x] CI/CD validated ### Who can review? Anyone in the community is free to review the PR once the tests have passed. Feel free to tag members/contributors who may be interested in your PR.	1 year ago
Zander Chase	204a73c1d9	Use client from LCP-SDK (#5695 ) - Remove the client implementation (this breaks backwards compatibility for existing testers. I could keep the stub in that file if we want, but not many people are using it yet - Add SDK as dependency - Update the 'run_on_dataset' method to be a function that optionally accepts a client as an argument - Remove the langchain plus server implementation (you get it for free with the SDK now) We could make the SDK optional for now, but the plan is to use w/in the tracer so it would likely become a hard dependency at some point.	1 year ago
Ankush Gola	84a46753ab	Tracing Group (#5326 ) Add context manager to group all runs under a virtual parent --------- Co-authored-by: vowelparrot <130414180+vowelparrot@users.noreply.github.com>	1 year ago
Ilya	d5b1608216	fix markdown text splitter horizontal lines (#5625 ) Fixes #5614 #### Issue The `**` combination produces an exception when used as a seperator in `re.split`. Instead `\\\` should be used for regex exprations. #### Who can review? @eyurtsev	1 year ago
M Waleed Kadous	5124c1e0d9	Add aviary support (#5661 ) Aviary is an open source toolkit for evaluating and deploying open source LLMs. You can find out more about it on [http://github.com/ray-project/aviary). You can try it out at [http://aviary.anyscale.com](aviary.anyscale.com). This code adds support for Aviary in LangChain. To minimize dependencies, it connects directly to the HTTP endpoint. The current implementation is not accelerated and uses the default implementation of `predict` and `generate`. It includes a test and a simple example. @hwchase17 and @agola11 could you have a look at this? --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Lance Martin	aea090045b	Create OpenAIWhisperParser for generating Documents from audio files (#5580 ) # OpenAIWhisperParser This PR creates a new parser, `OpenAIWhisperParser`, that uses the [OpenAI Whisper model](https://platform.openai.com/docs/guides/speech-to-text/quickstart) to perform transcription of audio files to text (`Documents`). Please see the notebook for usage.	1 year ago

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689 Commits (d2cf0d16b3e814e2bc86472e309c7ad81bf36cdb)