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
Nolan	5da9f9abcb	docs(agents/toolkits): Fix error in document_comparison_toolkit.ipynb (#7417 ) Replace this comment with: - Description: Removes unneeded output warning in documentation at https://python.langchain.com/docs/modules/agents/toolkits/document_comparison_toolkit - Issue: - - Dependencies: - - Tag maintainer: @baskaryan - Twitter handle: @finnless	1 year ago
Delgermurun	a1603fccfb	integrate JinaChat (#6927 ) Integration with https://chat.jina.ai/api. It is OpenAI compatible API. - Twitter handle: [https://twitter.com/JinaAI_](https://twitter.com/JinaAI_) --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Roger Yu	633b673b85	Update pinecone.ipynb (#7382 ) Fix typo	1 year ago
Joshua Carroll	705d2f5b92	Update the API Reference link in Streamlit integration docs (#7377 ) This page: https://python.langchain.com/docs/modules/callbacks/integrations/streamlit Has a bad API Reference link currently. This PR fixes it to the correct link. Also updates the embedded app link to https://langchain-mrkl.streamlit.app/ (better name) which is hosted in langchain-ai/streamlit-agent repo	1 year ago
Georges Petrov	ec033ae277	Rename Databerry to Chaindesk (#7022 ) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	7cdf97ba9b	Harrison/add to imports (#7370 ) pgvector cleanup	1 year ago
Bagatur	4d427b2397	Base language model docstrings (#7104 )	1 year ago
Alex Gamble	df746ad821	Add a callback handler for Context (https://getcontext.ai ) (#7151 ) ### Description Adding a callback handler for Context. Context is a product analytics platform for AI chat experiences to help you understand how users are interacting with your product. I've added the callback library + an example notebook showing its use. ### Dependencies Requires the user to install the `context-python` library. The library is lazily-loaded when the callback is instantiated. ### Announcing the feature We spoke with Harrison a few weeks ago about also doing a blog post announcing our integration, so will coordinate this with him. Our Twitter handle for the company is @getcontextai, and the founders are @_agamble and @HenrySG. Thanks in advance!	1 year ago
German Martin	3ce4e46c8c	The Fellowship of the Vectors: New Embeddings Filter using clustering. (#7015 ) Continuing with Tolkien inspired series of langchain tools. I bring to you: The Fellowship of the Vectors, AKA EmbeddingsClusteringFilter. This document filter uses embeddings to group vectors together into clusters, then allows you to pick an arbitrary number of documents vector based on proximity to the cluster centers. That's a representative sample of the cluster. The original idea is from [Greg Kamradt](https://github.com/gkamradt) from this video (Level4): https://www.youtube.com/watch?v=qaPMdcCqtWk&t=365s I added few tricks to make it a bit more versatile, so you can parametrize what to do with duplicate documents in case of cluster overlap: replace the duplicates with the next closest document or remove it. This allow you to use it as an special kind of redundant filter too. Additionally you can choose 2 diff orders: grouped by cluster or respecting the original retriever scores. In my use case I was using the docs grouped by cluster to run refine chains per cluster to generate summarization over a large corpus of documents. Let me know if you want to change anything! @rlancemartin, @eyurtsev, @hwchase17, --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Bagatur	d1c7237034	openai fn update nb (#7352 )	1 year ago
Bagatur	1c8cff32f1	Generic OpenAI fn chain (#7270 ) Add loading functions for openai function chains and add docs page	1 year ago
OwenElliott	3074306ae1	Marqo Vector Store Examples & Type Hints (#7326 ) This PR improves the example notebook for the Marqo vectorstore implementation by adding a new RetrievalQAWithSourcesChain example. The `embedding` parameter in `from_documents` has its type updated to `Union[Embeddings, None]` and a default parameter of None because this is ignored in Marqo. This PR also upgrades the Marqo version to 0.11.0 to remove the device parameter after a breaking change to the API. Related to #7068 @tomhamer @hwchase17 --------- Co-authored-by: Tom Hamer <tom@marqo.ai>	1 year ago
Bagatur	a9c5b4bcea	Bagatur/clarifai update (#7324 ) This PR improves upon the Clarifai LangChain integration with improved docs, errors, args and the addition of embedding model support in LancChain for Clarifai's embedding models and an overview of the various ways you can integrate with Clarifai added to the docs. --------- Co-authored-by: Matthew Zeiler <zeiler@clarifai.com>	1 year ago
John Landahl	e047541b5f	Corrected a typo in elasticsearch.ipynb (#7318 ) Simple typo fix	1 year ago
Leonid Ganeline	6ff9e9b34a	updated `huggingface_hub` examples (#7292 ) Added examples for models: - Google `Flan` - TII `Falcon` - Salesforce `XGen`	1 year ago
Dídac Sabatés	e0cb3ea90c	Fix sql_database.ipynb link (#6525 ) Looks like the [SQLDatabaseChain](https://langchain.readthedocs.io/en/latest/modules/chains/examples/sqlite.html) in the SQL Database Agent page was broken I've change it to the SQL Chain page	1 year ago
hayao-k	c23e16c459	docs: Fixed typos in Amazon Kendra Retriever documentation (#7261 ) ## Description Fixed to the official service name Amazon Kendra. ## Tag maintainer @baskaryan	1 year ago
zhaoshengbo	e8f24164f0	Improve the alibaba cloud opensearch vector store documentation (#6964 ) Based on user feedback, we have improved the Alibaba Cloud OpenSearch vector store documentation. Co-authored-by: zhaoshengbo <shengbo.zsb@alibaba-inc.com>	1 year ago
Stefano Lottini	e61cfb6e99	FLARE Example notebook: switch to named arg to pass pydantic validation (#7267 ) Adding the name of the parameter to comply with latest requirements by Pydantic usage for BaseModels.	1 year ago
os1ma	b151d4257a	docs: Update documentation for Wikipedia tool to use WikipediaQueryRun (#7258 ) Description In the following page, "Wikipedia" tool is explained. https://python.langchain.com/docs/modules/agents/tools/integrations/wikipedia However, the WikipediaAPIWrapper being used is not a tool. This PR updated the documentation to use a tool WikipediaQueryRun. Issue None Tag maintainer Agents / Tools / Toolkits: @hinthornw	1 year ago
Shantanu Nair	f773c21723	Update supabase match_docs ddl and notebook to use expected id type (#7257 ) - Description: Switch supabase match function DDL to use expected uuid type instead of bigint - Issue: https://github.com/hwchase17/langchain/issues/6743, https://github.com/hwchase17/langchain/issues/7179 - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: https://twitter.com/ShantanuNair	1 year ago
Myeongseop Kim	0e878ccc2d	Add HumanInputChatModel (#7256 ) - Description: This is a chat model equivalent of HumanInputLLM. An example notebook is also added. - Tag maintainer: @hwchase17, @baskaryan - Twitter handle: N/A	1 year ago
Harrison Chase	52b016920c	Harrison/update anthropic (#7237 ) Co-authored-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>	1 year ago
Hashem Alsaket	6aa66fd2b0	Update Hugging Face Hub notebook (#7236 ) Description: `flan-t5-xl` hangs, updated to `flan-t5-xxl`. Tested all stabilityai LLMs- all hang so removed from tutorial. Temperature > 0 to prevent unintended determinism. Issue: #3275 Tag maintainer: @baskaryan	1 year ago
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	6711854e30	Harrison/dataforseo (#7214 ) Co-authored-by: Alexander <sune357@gmail.com>	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
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
Lance Martin	9ca4c54428	Minor updates to notebook for MultiQueryRetriever (#7102 ) * Add an easier-to-run example. * Add logging per https://github.com/hwchase17/langchain/pull/6891. * Updated params per https://github.com/hwchase17/langchain/pull/5962. --------- Co-authored-by: R. Lance Martin <rlm@Rs-MacBook-Pro.local> Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
genewoo	e49abd1277	Add Metal support to llama.cpp doc (#7092 ) - Description: Add Metal support to llama.cpp doc - Issue: #7091 - Dependencies: N/A - Twitter handle: gene_wu	1 year ago
rjarun8	e2d61ab85a	Add SpacyEmbeddings class (#6967 ) - Description: Added a new SpacyEmbeddings class for generating embeddings using the Spacy library. - Issue: Sentencebert/Bert/Spacy/Doc2vec embedding support #6952 - Dependencies: This change requires the Spacy library and the 'en_core_web_sm' Spacy model. - Tag maintainer: @dev2049 - Twitter handle: N/A This change includes a new SpacyEmbeddings class, but does not include a test or an example notebook. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
adam91holt	80e86b602e	Remove duplicate mongodb integration doc (#7006 )	1 year ago
Johnny Lim	a081e419a0	Fix sample in FAISS section (#7050 ) This PR fixes a sample in the FAISS section in the reference docs.	1 year ago
Leonid Ganeline	200be43da6	added `Brave Search` document_loader (#6989 ) - Added `Brave Search` document loader. - Refactored BraveSearch wrapper - Added a Jupyter Notebook example - Added `Ecosystem/Integrations` BraveSearch page Please review: - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev	1 year ago
Sergey Kozlov	6d15854cda	Add JSON Lines support to JSONLoader (#6913 ) Description: The JSON Lines format is used by some services such as OpenAI and HuggingFace. It's also a convenient alternative to CSV. This PR adds JSON Lines support to `JSONLoader` and also updates related tests. Tag maintainer: @rlancemartin, @eyurtsev. PS I was not able to build docs locally so didn't update related section.	1 year ago
Ofer Mendelevitch	153b56d19b	Vectara upd2 (#6506 ) Update to Vectara integration - By user request added "add_files" to take advantage of Vectara capabilities to process files on the backend, without the need for separate loading of documents and chunking in the chain. - Updated vectara.ipynb example notebook to be broader and added testing of add_file() @hwchase17 - project lead --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Leonid Ganeline	77ae8084a0	docstrings `document_loaders` 1 (#6847 ) - Updated docstrings in `document_loaders` - several code fixes. - added `docs/extras/ecosystem/integrations/airtable.md` @rlancemartin, @eyurtsev	1 year ago
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

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