3225 Commits (b551d49cf532ccae54d3015222c5cd24f52fff11)

Author	SHA1	Message	Date
aditya thomas	a35203b164	docs: (minor) update to anthropic doc (#18794) ... **Description:** Minor update to Anthropic documentation **Issue:** Not applicable **Dependencies:** None **Lint and test**: `make format` and `make lint` was done	4 months ago
Paul Sanders	93b87f2bfb	docs: Fix typo (#18545) ... Fixing a minor typo in the package name. Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: 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. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	4 months ago
Aaron Jimenez	fcf6213c22	docs: Fix link to HF TEI in text_embeddings_inference.ipynb (#18682) ... - [ ] **PR title:** docs: Fix link to HF TEI in text_embeddings_inference.ipynb - [ ] **PR message:** - **Description:** Fix the link to [Hugging Face Text Embeddings Inference (TEI)](https://huggingface.co/docs/text-embeddings-inference/index) in text_embeddings_inference.ipynb - **Issue:** Fix #18576	4 months ago
Averi Kitsch	8accee57a9	docs: update Google Cloud database integration docs (#18711) ... **Description:** update Google Cloud database integration docs **Issue:** NA **Dependencies:** NA	4 months ago
Ian	7f504c1f81	docs: Improve the tidb vector store notebook (#18773) ... Remove redundant useless content, and fix some minor oversight	4 months ago
Yunmo Koo	fee6f983ef	community[minor]: Integration for `Friendli` LLM and `ChatFriendli` ChatModel. (#17913) ... ## Description - Add [Friendli](https://friendli.ai/) integration for `Friendli` LLM and `ChatFriendli` chat model. - Unit tests and integration tests corresponding to this change are added. - Documentations corresponding to this change are added. ## Dependencies - Optional dependency [`friendli-client`](https://pypi.org/project/friendli-client/) package is added only for those who use `Frienldi` or `ChatFriendli` model. ## Twitter handle - https://twitter.com/friendliai	4 months ago
Ian	390ef6abe3	community[minor]: Add Initial Support for TiDB Vector Store (#15796) ... This pull request introduces initial support for the TiDB vector store. The current version is basic, laying the foundation for the vector store integration. While this implementation provides the essential features, we plan to expand and improve the TiDB vector store support with additional enhancements in future updates. Upcoming Enhancements: * Support for Vector Index Creation: To enhance the efficiency and performance of the vector store. * Support for max marginal relevance search. * Customized Table Structure Support: Recognizing the need for flexibility, we plan for more tailored and efficient data store solutions. Simple use case exmaple ```python from typing import List, Tuple from langchain.docstore.document import Document from langchain_community.vectorstores import TiDBVectorStore from langchain_openai import OpenAIEmbeddings db = TiDBVectorStore.from_texts( embedding=embeddings, texts=['Andrew like eating oranges', 'Alexandra is from England', 'Ketanji Brown Jackson is a judge'], table_name="tidb_vector_langchain", connection_string=tidb_connection_url, distance_strategy="cosine", ) query = "Can you tell me about Alexandra?" docs_with_score: List[Tuple[Document, float]] = db.similarity_search_with_score(query) for doc, score in docs_with_score: print("-" * 80) print("Score: ", score) print(doc.page_content) print("-" * 80) ```	4 months ago
Eugene Yurtsev	1e1cac50d8	Docs: remove sales from security (#18762) ... Remove sales from security	4 months ago
Eugene Yurtsev	ca299a8e08	Docs: Add custom parsing documentation and extending langchain (#18331) ... * Added extending langchain.mdx -- we'll need to add links as we add more custom documentation * Added partial documentation about parsers	4 months ago
Leonid Ganeline	dad949eb99	docs: update imports of `adapters` to use langchain_community (#18751) ... Updated imports from `langchain` to `langchain_community`	4 months ago
Leonid Ganeline	1af2130ff7	docs: update imports of tools to use langchain_community (#18705) ... Updated imports from `langchain` to `langchain_community`.	4 months ago
Sam Khano	1b4dcf22f3	community[minor]: Add DocumentDBVectorSearch VectorStore (#17757) ... **Description:** - Added Amazon DocumentDB Vector Search integration (HNSW index) - Added integration tests - Updated AWS documentation with DocumentDB Vector Search instructions - Added notebook for DocumentDB integration with example usage --------- Co-authored-by: EC2 Default User <ec2-user@ip-172-31-95-226.ec2.internal>	4 months ago
Vittorio Rigamonti	51f3902bc4	community[minor]: Adding support for Infinispan as VectorStore (#17861) ... **Description:** This integrates Infinispan as a vectorstore. Infinispan is an open-source key-value data grid, it can work as single node as well as distributed. Vector search is supported since release 15.x For more: [Infinispan Home](https://infinispan.org) Integration tests are provided as well as a demo notebook	4 months ago
Max Jakob	cca0167917	elasticsearch[patch], community[patch]: update references, deprecate community classes (#18506) ... Follow up on https://github.com/langchain-ai/langchain/pull/17467. - Update all references to the Elasticsearch classes to use the partners package. - Deprecate community classes. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Djordje	12b4a4d860	community[patch]: Opensearch delete method added - indexing supported (#18522) ... - **Description:** Added delete method for OpenSearchVectorSearch, therefore indexing supported - **Issue:** No - **Dependencies:** No - **Twitter handle:** stkbmf	4 months ago
Leonid Ganeline	81cbf0f2fd	docs: update import paths for callbacks to use langchain_community callbacks where applicable (#18691) ... Refactored imports from `langchain` to `langchain_community` whenever it is applicable	4 months ago
Leonid Ganeline	fb686333ac	docs: fix `streamlit` provider (#18606) ... There is a wrong python package import. Fixed it.	4 months ago
aditya thomas	97de498d39	docs: update to the streaming tutorial notebook in the lcel documentation (#18378) ... **Description:** Update to the streaming tutorial notebook in the LCEL documentation **Issue:** Fixed an import and (minor) changes in documentation language **Dependencies:** None	4 months ago
Guangdong Liu	32db9e74e4	docs: Fix some issues with sparkllm use cases (#17674)	4 months ago
Eugene Yurtsev	b9f3c7a0c9	Use Case: Extraction set temperature to 0, qualify a statement (#18672) ... Minor changes: 1) Set temperature to 0 (important) 2) Better qualify one of the statements with confidence	4 months ago
Eugene Yurtsev	a4a6978224	Docs: Revamp Extraction Use Case (#18588) ... Revamp the extraction use case documentation --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	4 months ago
Leonid Ganeline	114d64d4a7	docs: `providers` update (#18527) ... Added missed pages. Added links and descriptions. Foratted to the consistent form.	4 months ago
PSV	d7dd3cd248	docs: structured_output (#18608) ... - **Description:** Fixed some typos and copy errors in the Beta Structured Output docs - **Issue:** N/A - **Dependencies:** Docs only - **Twitter handle:** @psvann Co-authored-by: P.S. Vann <psvann@yahoo.com>	4 months ago
Bagatur	29f1619d61	docs: why lcel nit (#18616)	4 months ago
Bagatur	080904689c	docs: text splitters install (#18589)	4 months ago
Sunchao Wang	dc81dba6cf	community[patch]: Improve amadeus tool and doc (#18509) ... Description: This pull request addresses two key improvements to the langchain repository: **Fix for Crash in Flight Search Interface**: Previously, the code would crash when encountering a failure scenario in the flight ticket search interface. This PR resolves this issue by implementing a fix to handle such scenarios gracefully. Now, the code handles failures in the flight search interface without crashing, ensuring smoother operation. **Documentation Update for Amadeus Toolkit**: Prior to this update, examples provided in the documentation for the Amadeus Toolkit were unable to run correctly due to outdated information. This PR includes an update to the documentation, ensuring that all examples can now be executed successfully. With this update, users can effectively utilize the Amadeus Toolkit with accurate and functioning examples. These changes aim to enhance the reliability and usability of the langchain repository by addressing issues related to error handling and ensuring that documentation remains up-to-date and actionable. Issue: https://github.com/langchain-ai/langchain/issues/17375 Twitter Handle: SingletonYxx	4 months ago
Utkarsh Kapil	539a13dbda	docs: minor spelling errors (#18429) ... Description: Noticed spelling errors. 'Colab' mispelt as 'Collab'. https://python.langchain.com/docs/use_cases Dependencies: n/a	4 months ago
Dounx	ad48f55357	community[minor]: add Yuque document loader (#17924) ... This pull request support loading documents from Yuque with Langchain. Yuque is a professional cloud-based knowledge base for team collaboration in documentation. Website: https://www.yuque.com OpenAPI: https://www.yuque.com/yuque/developer/openapi	4 months ago
Kazuki Maeda	60c5d964a8	community[minor]: use jq schema for content_key in json_loader (#18003) ... ### Description Changed the value specified for `content_key` in JSONLoader from a single key to a value based on jq schema. I created [similar PR](https://github.com/langchain-ai/langchain/pull/11255) before, but it has several conflicts because of the architectural change associated stable version release, so I re-create this PR to fit new architecture. ### Why For json data like the following, specify `.data[].attributes.message` for page_content and `.data[].attributes.id` or `.data[].attributes.attributes. tags`, etc., the `content_key` must also parse the json structure. <details> <summary>sample json data</summary> ```json { "data": [ { "attributes": { "message": "message1", "tags": [ "tag1" ] }, "id": "1" }, { "attributes": { "message": "message2", "tags": [ "tag2" ] }, "id": "2" } ] } ``` </details> <details> <summary>sample code</summary> ```python def metadata_func(record: dict, metadata: dict) -> dict: metadata["source"] = None metadata["id"] = record.get("id") metadata["tags"] = record["attributes"].get("tags") return metadata sample_file = "sample1.json" loader = JSONLoader( file_path=sample_file, jq_schema=".data[]", content_key=".attributes.message", ## content_key is parsable into jq schema is_content_key_jq_parsable=True, ## this is added parameter metadata_func=metadata_func ) data = loader.load() data ``` </details> ### Dependencies none ### Twitter handle [kzk_maeda](https://twitter.com/kzk_maeda)	4 months ago
Rodrigo Nogueira	f4bb33bbf3	docs: fix link and missing package (#18405) ... **Issue:** fix broken links and missing package on colab example	4 months ago
Max Jakob	81e9ab6e3a	docs: Update elasticsearch README (#18497) ... Update Elasticsearch README with information on how to start a deployment. Also make some cosmetic changes to the [Elasticsearch docs](https://python.langchain.com/docs/integrations/vectorstores/elasticsearch). Follow up on https://github.com/langchain-ai/langchain/pull/17467	4 months ago
Hech	6a08134661	community[patch], langchain[minor]: Add retriever self_query and score_threshold in DingoDB (#18106)	4 months ago
Bagatur	1569b19191	docs: query analysis links (#18614)	4 months ago
Asaf Joseph Gardin	27441555d0	ai21[patch]: AI21 Labs Contextual Answers support (#18270) ... Description: Added support for AI21 Labs model - Contextual Answers Dependencies: ai21, ai21-tokenizer Twitter handle: https://github.com/AI21Labs --------- Co-authored-by: Asaf Gardin <asafg@ai21.com> Co-authored-by: Erick Friis <erick@langchain.dev>	4 months ago
Leonid Ganeline	bd4993141d	docs: `providers` update 5 (#18550) ... Added missed sections. Added descriptions.	4 months ago
Reuben Zotz-Wilson	96cd50938a	community:update telegram notebook (#18569) ... **Description:** modified the user_name to username to conform with the expected inputs to TelegramChatApiLoader **Issue:** Current code fails in langchain-community 0.0.24 <loader = TelegramChatApiLoader( chat_entity="<CHAT_URL>", # recommended to use Entity here api_hash="<API HASH >", api_id="<API_ID>", user_name="", # needed only for caching the session. )>	4 months ago
Jib	9da1e0cf34	mongodb[patch]: Migrate MongoDBChatMessageHistory (#18590) ... ## **Description** Migrate the `MongoDBChatMessageHistory` to the managed `langchain-mongodb` partner-package ## **Dependencies** None ## **Twitter handle** @mongodb ## **tests and docs** - [x] Migrate existing integration test - [x ]~ Convert existing integration test to a unit test~ Creation is out of scope for this ticket - [x ] ~Considering delaying work until #17470 merges to leverage the `MockCollection` object. ~ - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ --------- Co-authored-by: Erick Friis <erick@langchain.dev>	4 months ago
Jib	f92f7d2e03	mongodb[minor]: Add MongoDB LLM Cache (#17470) ... # Description - **Description:** Adding MongoDB LLM Caching Layer abstraction - **Issue:** N/A - **Dependencies:** None - **Twitter handle:** @mongodb Checklist: - [x] PR title: Please title your PR "package: description", where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [x] PR Message (above) - [x] Pass lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified to check that you're passing lint and testing. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ - [ ] Add tests and docs: 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. It lives in `docs/docs/integrations` directory. Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @efriis, @eyurtsev, @hwchase17. --------- Co-authored-by: Jib <jib@byblack.us>	4 months ago
Erick Friis	07f23c2d45	docs: anthropic multimodal (#18586)	4 months ago
Erick Friis	4ac2cb4adc	anthropic[minor]: add tool calling (#18554)	4 months ago
Brace Sproul	328a498a78	docs[minor]: Add thumbs up/down to all docs pages (#18526)	4 months ago
Erick Friis	10874d5002	docs: update stack graphic (#18532)	4 months ago
aditya thomas	7803b973c7	docs: update documentation of stackexchange component (#18486) ... **Description:** Update documentation of the StackExchange component **Issue:** None **Dependencies:** None	4 months ago
Martin Kolb	63702a2044	docs: Improved notebook for vector store "HANA Cloud" (#18496) ... - **Description:** This PR fixes some issues in the Jupyter notebook for the VectorStore "SAP HANA Cloud Vector Engine": * Slight textual adaptations * Fix of wrong column name VEC_META (was: VEC_METADATA) - **Issue:** N/A - **Dependencies:** no new dependecies added - **Twitter handle:** @sapopensource path to notebook: `docs/docs/integrations/vectorstores/hanavector.ipynb`	4 months ago
Bagatur	1c1a3a7415	docs: quickstart models (#18511)	4 months ago
aditya thomas	a727eec6ed	docs: add groq to list of providers (#18503) ... **Description:** Add Groq to the list of providers **Issue:** None **Dependencies:** None	4 months ago
Erick Friis	24f9c700f2	anthropic[minor]: claude 3 (#18508)	4 months ago
William De Vena	172499404a	Docs: Updated callbacks/index.mdx adding example on invoke method (#18403) ... ## PR title Docs: Updated callbacks/index.mdx adding example on runnable methods ## PR message - **Description:** Updated callbacks/index.mdx adding an example on how to pass callbacks to the runnable methods (invoke, batch, ...) - **Issue:** #16379 - **Dependencies:** None	4 months ago
Jacob Lee	de2d9447c6	👥 Update LangChain people data (#18473) ... 👥 Update LangChain people data Co-authored-by: github-actions <github-actions@github.com>	4 months ago
William FH	1cdb813196	Improve notebook wording (#18472)	4 months ago
William FH	55b69d5ad1	Update Notebook Image (#18470)	4 months ago
Harrison Chase	73d653324f	[Evals] Session-level feedback (#18463) ... Co-authored-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>	4 months ago
Scott Nath	b051bba1a9	community: Add you.com tool, add async to retriever, add async testing, add You tool doc (#18032) ... - **Description:** finishes adding the you.com functionality including: - add async functions to utility and retriever - add the You.com Tool - add async testing for utility, retriever, and tool - add a tool integration notebook page - **Dependencies:** any dependencies required for this change - **Twitter handle:** @scottnath	4 months ago
Harrison Chase	7ce2f32c64	improve query analysis docs (#18426)	4 months ago
Aayush Kataria	7c2f3f6f95	community[minor]: Adding Azure Cosmos Mongo vCore Vector DB Cache (#16856) ... Description: This pull request introduces several enhancements for Azure Cosmos Vector DB, primarily focused on improving caching and search capabilities using Azure Cosmos MongoDB vCore Vector DB. Here's a summary of the changes: - **AzureCosmosDBSemanticCache**: Added a new cache implementation called AzureCosmosDBSemanticCache, which utilizes Azure Cosmos MongoDB vCore Vector DB for efficient caching of semantic data. Added comprehensive test cases for AzureCosmosDBSemanticCache to ensure its correctness and robustness. These tests cover various scenarios and edge cases to validate the cache's behavior. - **HNSW Vector Search**: Added HNSW vector search functionality in the CosmosDB Vector Search module. This enhancement enables more efficient and accurate vector searches by utilizing the HNSW (Hierarchical Navigable Small World) algorithm. Added corresponding test cases to validate the HNSW vector search functionality in both AzureCosmosDBSemanticCache and AzureCosmosDBVectorSearch. These tests ensure the correctness and performance of the HNSW search algorithm. - **LLM Caching Notebook** - The notebook now includes a comprehensive example showcasing the usage of the AzureCosmosDBSemanticCache. This example highlights how the cache can be employed to efficiently store and retrieve semantic data. Additionally, the example provides default values for all parameters used within the AzureCosmosDBSemanticCache, ensuring clarity and ease of understanding for users who are new to the cache implementation. @hwchase17,@baskaryan, @eyurtsev,	4 months ago
Bagatur	db47b5deee	docs: anthropic quickstart (#18440)	4 months ago
Bagatur	74f3908182	docs: anthropic qa quickstart (#18459)	4 months ago
Harrison Chase	bc768a12ed	more query analysis docs (#18358)	4 months ago
Erick Friis	9fda6ac7e6	docs: stop copying source (#18404)	4 months ago
Kate Silverstein	b7c71e2e07	community[minor]: llamafile embeddings support (#17976) ... * **Description:** adds `LlamafileEmbeddings` class implementation for generating embeddings using [llamafile](https://github.com/Mozilla-Ocho/llamafile)-based models. Includes related unit tests and notebook showing example usage. * **Issue:** N/A * **Dependencies:** N/A	4 months ago
Massimiliano Pronesti	c3c987dd70	docs: update Azure OpenAI to v1 and langchain API to 0.1 (#18005) ... **Description:** Updated Azure OpenAI docs to OpenAI API v1 and LLM invocation to langchain 0.1	4 months ago
Kate Silverstein	c9153a3fd4	docs: add llamafile info to 'Local LLMs' guides (#18049) ... - **Description:** add information about [llamafile](https://github.com/Mozilla-Ocho/llamafile) (setup, example usage) to ['Run LLMs locally'](https://python.langchain.com/docs/guides/local_llms) and ['Using local models for Q&A with RAG'](https://python.langchain.com/docs/use_cases/question_answering/local_retrieval_qa) guides. - **Issue:** N/A - **Dependencies:** N/A	4 months ago
aditya thomas	e6e60e2492	docs: ChatOpenAI update module import path and calling method (#18169) ... **Description:** (a) Update to the module import path to reflect the splitting up of langchain into separate packages (b) Update to the documentation to include the new calling method (invoke)	4 months ago
Ryan Meinzer	d883fd4a37	docs: Correct WebBaseLoader URL: docs: python.langchain.com/docs/get_started/quickstartQuickstart (#17981) ... **Description:** The URL of the data to index, specified to `WebBaseLoader` to import is incorrect, causing the `langsmith_search` retriever to return a `404: NOT_FOUND`. Incorrect URL: https://docs.smith.langchain.com/overview Correct URL: https://docs.smith.langchain.com **Issue:** This commit corrects the URL and prevents the LangServe Playground from returning an error from its inability to use the retriever when inquiring, "how can langsmith help with testing?". **Dependencies:** None. **Twitter Handle:** @ryanmeinzer	4 months ago
Petteri Johansson	6c1989d292	community[minor], langchain[minor], docs: Gremlin Graph Store and QA Chain (#17683) ... - **Description:** New feature: Gremlin graph-store and QA chain (including docs). Compatible with Azure CosmosDB. - **Dependencies:** no changes	4 months ago
Ather Fawaz	a5ccf5d33c	community[minor]: Add support for Perplexity chat model(#17024) ... - **Description:** This PR adds support for [Perplexity AI APIs](https://blog.perplexity.ai/blog/introducing-pplx-api). - **Issues:** None - **Dependencies:** None - **Twitter handle:** [@atherfawaz](https://twitter.com/AtherFawaz) --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	4 months ago
Rodrigo Nogueira	3438d2cbcc	community[minor]: add maritalk chat (#17675) ... **Description:** Adds the MariTalk chat that is based on a LLM specially trained for Portuguese. **Twitter handle:** @MaritacaAI	4 months ago
老阿張	1701f7b8e9	docs: Fix typo in baidu_qianfan_endpoint.ipynb & baidu_qianfan_endpoint.ipynb (#18176) ... Description: "sucessfully should be successfully "? 🤔 Issue: Typo Dependencies: Nope Twitter handle: laoazhang	4 months ago
Ikko Eltociear Ashimine	31b4e78174	docs: fix typo in milvus.ipynb (#18373) ... retreival -> retrieval	4 months ago
Tabby	dd6f85caf1	docs: Update Google El Carro for Oracle Workload Documentation. (#18394) ... In this commit we update the documentation for Google El Carro for Oracle Workloads. We amend the documentation in the Google Providers page to use the correct name which is El Carro for Oracle Workloads. We also add changes to the document_loaders and memory pages to reflect changes we made in our repo.	4 months ago
Leonid Ganeline	d937fa4f9c	docs: `Tutorials` update (#18230) ... A big update of the `Tutorials` page. Cleaned it up. Added several new resources.	4 months ago
Yujie Qian	cbb65741a7	community[patch]: Voyage AI updates default model and batch size (#17655) ... - **Description:** update the default model and batch size in VoyageEmbeddings - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** N/A --------- Co-authored-by: fodizoltan <zoltan@conway.expert>	4 months ago
Shengsheng Huang	ae471a7dcb	community[minor]: add BigDL-LLM integrations (#17953) ... - **Description**: [`bigdl-llm`](https://github.com/intel-analytics/BigDL) is a library for running LLM on Intel XPU (from Laptop to GPU to Cloud) using INT4/FP4/INT8/FP8 with very low latency (for any PyTorch model). This PR adds bigdl-llm integrations to langchain. - **Issue**: NA - **Dependencies**: `bigdl-llm` library - **Contribution maintainer**: @shane-huang Examples added: - docs/docs/integrations/llms/bigdl.ipynb	4 months ago
Ethan Yang	f61cb8d407	community[minor]: Add openvino backend support (#11591) ... - **Description:** add openvino backend support by HuggingFace Optimum Intel, - **Dependencies:** “optimum[openvino]”, --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Leonid Ganeline	6d0af4e805	docs: nvidia: provider page update (#18054) ... Nvidia provider page is missing a Triton Inference Server package reference. Changes: - added the Triton Inference Server reference - copied the example notebook from the package into the doc files. - added the Triton Inference Server description and links, the link to the above example notebook - formatted page to the consistent format NOTE: It seems that the [example notebook](https://github.com/langchain-ai/langchain/blob/master/libs/partners/nvidia-trt/docs/llms.ipynb) was originally created in wrong place. It should be in the LangChain docs [here](https://github.com/langchain-ai/langchain/tree/master/docs/docs/integrations/llms). So, I've created a copy of this example. The original example is still in the nvidia-trt package.	4 months ago
Jacob Lee	590d47bff4	docs[patch]: Add Neo4j GraphAcademy to tutorials section (#18353)	4 months ago
Bagatur	4730ee2766	docs: update api ref nav (#18362)	4 months ago
Bagatur	12f19b8a6a	infra: update create_api_rst (#18361)	4 months ago
Bagatur	5efb5c099f	text-splitters[minor], langchain[minor], community[patch], templates, docs: langchain-text-splitters 0.0.1 (#18346)	4 months ago
Erick Friis	bce0684327	docs: airbyte deps note (#18243)	4 months ago
Jib	72bfc1d3db	mongodb[minor]: MongoDB Partner Package -- Porting MongoDBAtlasVectorSearch (#17652) ... This PR migrates the existing MongoDBAtlasVectorSearch abstraction from the `langchain_community` section to the partners package section of the codebase. - [x] Run the partner package script as advised in the partner-packages documentation. - [x] Add Unit Tests - [x] Migrate Integration Tests - [x] Refactor `MongoDBAtlasVectorStore` (autogenerated) to `MongoDBAtlasVectorSearch` - [x] ~Remove~ deprecate the old `langchain_community` VectorStore references. ## Additional Callouts - Implemented the `delete` method - Included any missing async function implementations - `amax_marginal_relevance_search_by_vector` - `adelete` - Added new Unit Tests that test for functionality of `MongoDBVectorSearch` methods - Removed [`del res[self._embedding_key]`](e0c81e1cb0/libs/community/langchain_community/vectorstores/mongodb_atlas.py (L218)) in `_similarity_search_with_score` function as it would make the `maximal_marginal_relevance` function fail otherwise. The `Document` needs to store the embedding key in metadata to work. Checklist: - [x] PR title: Please title your PR "package: description", where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [x] PR message - [x] Pass lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified to check that you're passing lint and testing. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ - [x] Add tests and docs: If you're adding a new integration, please include 1. Existing tests supplied in docs/docs do not change. Updated docstrings for new functions like `delete` 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. (This already exists) If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: Steven Silvester <steven.silvester@ieee.org> Co-authored-by: Erick Friis <erick@langchain.dev>	4 months ago
Bagatur	a6f0506aaf	docs: query analysis use case (#17766) ... Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	4 months ago
Filip Schouwenaars	4c62362eab	Add links to relevant DataCamp code alongs (#18332) ... This PR adds links to some more free resources for people to get acquainted with Langhchain without having to configure their system. <!-- If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --> Co-authored-by: Filip Schouwenaars <filipsch@users.noreply.github.com>	4 months ago
Virat Singh	cd926ac3dd	community: Add PolygonFinancials Tool (#18324) ... **Description:** In this PR, I am adding a `PolygonFinancials` tool, which can be used to get financials data for a given ticker. The financials data is the fundamental data that is found in income statements, balance sheets, and cash flow statements of public US companies. **Twitter**: [@virattt](https://twitter.com/virattt)	4 months ago
Leonid Ganeline	d43fa2eab1	docs `providers` update (#18336) ... Formatted pages into a consistent form. Added descriptions and links when needed.	4 months ago
Bagatur	6a5b084704	docs: update func calling doc (#18300)	4 months ago
Averi Kitsch	1b63530274	docs: update Google documentation (#18297) ... **Description:** update Google documentation **Issue:** **Dependencies:**	4 months ago
Leonid Ganeline	1d865a7e86	docs: `google` provider page fixes (#18290) ... Several URL-s were broken (in the yesterday PR). Like [Integrations/platforms/google/Document Loaders](https://python.langchain.com/docs/integrations/platforms/google#document-loaders) page, Example link to "Document Loaders / Cloud SQL for PostgreSQL" and most of the new example links in the Document Loaders, Vectorstores, Memory sections. - fixed URL-s (manually verified all example links) - sorted sections in page to follow the "integrations/components" menu item order. - fixed several page titles to fix Navbar item order --------- Co-authored-by: Erick Friis <erick@langchain.dev>	4 months ago
aditya thomas	eb0c178d75	docs: update to the list of partner packages in the list of providers (#18252) ... **Description:** Update to the list of partner packages in the list of providers **Issue:** Google & Nvidia had two entries each, both pointing to the same page **Dependencies:** None	4 months ago
ccurme	9bf58ec7dd	update extraction use-case docs (#17979) ... Update extraction use-case docs to showcase and explain all modes of `create_structured_output_runnable`.	4 months ago
kkdamowang	4899a72b56	docs: remove duplicate word in lcel/streaming (#18249) ... - **Description:** Remove duplicate word in lcel/streaming. - **Issue:** No. - **Dependencies:** No.	4 months ago
Eugene Yurtsev	cd52433ba0	community[minor]: Add `SQLDatabaseLoader` document loader (#18281) ... - **Description:** A generic document loader adapter for SQLAlchemy on top of LangChain's `SQLDatabaseLoader`. - **Needed by:** https://github.com/crate-workbench/langchain/pull/1 - **Depends on:** GH-16655 - **Addressed to:** @baskaryan, @cbornet, @eyurtsev Hi from CrateDB again, in the same spirit like GH-16243 and GH-16244, this patch breaks out another commit from https://github.com/crate-workbench/langchain/pull/1, in order to reduce the size of this patch before submitting it, and to separate concerns. To accompany the SQLAlchemy adapter implementation, the patch includes integration tests for both SQLite and PostgreSQL. Let me know if corresponding utility resources should be added at different spots. With kind regards, Andreas. ### Software Tests ```console docker compose --file libs/community/tests/integration_tests/document_loaders/docker-compose/postgresql.yml up ``` ```console cd libs/community pip install psycopg2-binary pytest -vvv tests/integration_tests -k sqldatabase ``` ``` 14 passed ```  --------- Co-authored-by: Andreas Motl <andreas.motl@crate.io>	4 months ago
Jack Wotherspoon	92c34d4803	docs: update documentation for Google Cloud database integrations (#18265) ... **Description:** Fixing typos and rendering issues for Google Cloud database integrations. **Issue:** NA **Dependencies:** NA	4 months ago
Averi Kitsch	76eb553084	docs: add documentation for Google Cloud database integrations (#18225) ... **Description:** add documentation for Google Cloud database integrations **Issue:** NA **Dependencies:** NA	4 months ago
Erick Friis	be8d2ff5f7	airbyte[patch]: init pkg (#18236)	4 months ago
Ayo Ayibiowu	ac1d7d9de8	community[feat]: Adds LLMLingua as a document compressor (#17711) ... **Description**: This PR adds support for using the [LLMLingua project ](https://github.com/microsoft/LLMLingua) especially the LongLLMLingua (Enhancing Large Language Model Inference via Prompt Compression) as a document compressor / transformer. The LLMLingua project is an interesting project that can greatly improve RAG system by compressing prompts and contexts while keeping their semantic relevance. **Issue**: https://github.com/microsoft/LLMLingua/issues/31 **Dependencies**: [llmlingua](https://pypi.org/project/llmlingua/) @baskaryan --------- Co-authored-by: Ayodeji Ayibiowu <ayodeji.ayibiowu@getinge.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	4 months ago
Isaac Francisco	733367b795	docs: deprecation of OpenAI functions agent, astream_events docstring (#18164) ... Co-authored-by: Hershenson, Isaac (Extern) <isaac.hershenson.extern@bayer04.de> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Harrison Chase	b0ccaf5917	Harrison/add structured output (#18165)	4 months ago
Max Jakob	5ab69f907f	partners: add Elasticsearch package (#17467) ... ### Description This PR moves the Elasticsearch classes to a partners package. Note that we will not move (and later remove) `ElasticKnnSearch`. It were previously deprecated. `ElasticVectorSearch` is going to stay in the community package since it is used quite a lot still. Also note that I left the `ElasticsearchTranslator` for self query untouched because it resides in main `langchain` package. ### Dependencies There will be another PR that updates the notebooks (potentially pulling them into the partners package) and templates and removes the classes from the community package, see https://github.com/langchain-ai/langchain/pull/17468 #### Open question How to make the transition smooth for users? Do we move the import aliases and require people to install `langchain-elasticsearch`? Or do we remove the import aliases from the `langchain` package all together? What has worked well for other partner packages? --------- Co-authored-by: Erick Friis <erick@langchain.dev>	4 months ago
matt haigh	a4896da2a0	Experimental: Add other threshold types to SemanticChunker (#16807) ... **Description** Adding different threshold types to the semantic chunker. I’ve had much better and predictable performance when using standard deviations instead of percentiles.  For all the documents I’ve tried, the distribution of distances look similar to the above: positively skewed normal distribution. All skews I’ve seen are less than 1 so that explains why standard deviations perform well, but I’ve included IQR if anyone wants something more robust. Also, using the percentile method backwards, you can declare the number of clusters and use semantic chunking to get an ‘optimal’ splitting. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	4 months ago