langchain

Commit Graph

Author	SHA1	Message	Date
Tomaz Bratanic	9efab3ed66	community[patch]: Add driver config param for neo4j graph (#20772 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Martin Kolb	0186e4e633	community[patch]: Advanced filtering for HANA Cloud Vector Engine (#20821 ) - Description: This PR adds support for advanced filtering to the integration of HANA Vector Engine. The newly supported filtering operators are: $eq, $ne, $gt, $gte, $lt, $lte, $between, $in, $nin, $like, $and, $or - Issue: N/A - Dependencies: no new dependencies added Added integration tests to: `libs/community/tests/integration_tests/vectorstores/test_hanavector.py` Description of the new capabilities in notebook: `docs/docs/integrations/vectorstores/hanavector.ipynb`	5 months ago
ccurme	c010ec8b71	patch: deprecate (a)get_relevant_documents (#20477 ) - `.get_relevant_documents(query)` -> `.invoke(query)` - `.get_relevant_documents(query=query)` -> `.invoke(query)` - `.get_relevant_documents(query, callbacks=callbacks)` -> `.invoke(query, config={"callbacks": callbacks})` - `.get_relevant_documents(query, kwargs)` -> `.invoke(query, kwargs)` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
shumway743	cb6e5e56c2	community[minor]: add graph store implementation for apache age (#20582 ) Description: implemented GraphStore class for Apache Age graph db Dependencies: depends on psycopg2 Unit and integration tests included. Formatting and linting have been run. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Christophe Bornet	c909ae0152	community[minor]: Add async methods to CassandraVectorStore (#20602 ) Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Tomaz Bratanic	8c08cf4619	community: Add support for relationship indexes in neo4j vector (#20657 ) Neo4j has added relationship vector indexes. We can't populate them, but we can use existing indexes for retrieval	5 months ago
Christophe Bornet	d2d01370bc	community[minor]: Add async methods to CassandraLoader (#20609 ) Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Pengcheng Liu	ecd19a9e58	community[patch]: Add function call support in Tongyi chat model. (#20119 ) - [ ] PR message: - Description: This pr adds function calling support in Tongyi chat model. - Issue: None - Dependencies: None - Twitter handle: None Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Sevin F. Varoglu	3f156e0ece	community[minor]: add ChatOctoAI (#20059 ) This PR adds ChatOctoAI, a chat model integration for OctoAI.	5 months ago
pjb157	479be3cc91	community[minor]: Unify Titan Takeoff Integrations and Adding Embedding Support (#18775 ) Community: Unify Titan Takeoff Integrations and Adding Embedding Support Description: Titan Takeoff no longer reflects this either of the integrations in the community folder. The two integrations (TitanTakeoffPro and TitanTakeoff) where causing confusion with clients, so have moved code into one place and created an alias for backwards compatibility. Added Takeoff Client python package to do the bulk of the work with the requests, this is because this package is actively updated with new versions of Takeoff. So this integration will be far more robust and will not degrade as badly over time. Issue: Fixes bugs in the old Titan integrations and unified the code with added unit test converge to avoid future problems. Dependencies: Added optional dependency takeoff-client, all imports still work without dependency including the Titan Takeoff classes but just will fail on initialisation if not pip installed takeoff-client Twitter @MeryemArik9 Thanks all :) --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Guangdong Liu	b78ede2f96	community[patch]: standardize init args (#20166 ) Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	5 months ago
Guangdong Liu	3729bec1a2	community[patch]: standardize init args (#20210 ) Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	5 months ago
sdan	a7c5e41443	community[minor]: Added VLite as VectorStore (#20245 ) Support [VLite](https://github.com/sdan/vlite) as a new VectorStore type. Description: vlite is a simple and blazing fast vector database(vdb) made with numpy. It abstracts a lot of the functionality around using a vdb in the retrieval augmented generation(RAG) pipeline such as embeddings generation, chunking, and file processing while still giving developers the functionality to change how they're made/stored. Before submitting: Added tests [here](`c09c2ebd5c/libs/community/tests/integration_tests/vectorstores/test_vlite.py`) Added ipython notebook [here](`c09c2ebd5c/docs/docs/integrations/vectorstores/vlite.ipynb`) Added simple docs on how to use [here](`c09c2ebd5c/docs/docs/integrations/providers/vlite.mdx`) Profiles Maintainers: @sdan Twitter handles: [@sdand](https://x.com/sdand) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Sevin F. Varoglu	54d388d898	community[patch]: update OctoAI endpoint to subclass BaseOpenAI (#19757 ) This PR updates OctoAIEndpoint LLM to subclass BaseOpenAI as OctoAI is an OpenAI-compatible service. The documentation and tests have also been updated.	5 months ago
Benito Geordie	57b226532d	community[minor]: Added integrations for ThirdAI's NeuralDB as a Retriever (#17334 ) Description: Adds ThirdAI NeuralDB retriever integration. NeuralDB is a CPU-friendly and fine-tunable text retrieval engine. We previously added a vector store integration but we think that it will be easier for our customers if they can also find us under under langchain-community/retrievers. --------- Co-authored-by: kartikTAI <129414343+kartikTAI@users.noreply.github.com> Co-authored-by: Kartik Sarangmath <kartik@thirdai.com>	5 months ago
Martín Gotelli Ferenaz	b48add4353	community[patch]: Fix pgvector deprecated filter clause usage with OR and AND conditions (#20446 ) Description: Support filter by OR and AND for deprecated PGVector version Issue: #20445 Dependencies: N/A Twitter handle: @martinferenaz	5 months ago
Juan Carlos José Camacho	450c458f8f	community[minor]: Add Datahareld tool (#19680 ) Description: Integrate [dataherald](https://www.dataherald.com) tool, It is a natural language-to-SQL tool. Dependencies: Install dataherald sdk to use it, ``` pip install dataherald ``` --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Christophe Bornet <cbornet@hotmail.com>	5 months ago
Guangdong Liu	4be7ca7b4c	community[patch]:sparkllm standardize init args (#20194 ) Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	5 months ago
Leonid Ganeline	4cb5f4c353	community[patch]: import flattening fix (#20110 ) This PR should make it easier for linters to do type checking and for IDEs to jump to definition of code. See #20050 as a template for this PR. - As a byproduct: Added 3 missed `test_imports`. - Added missed `SolarChat` in to __init___.py Added it into test_import ut. - Added `# type: ignore` to fix linting. It is not clear, why linting errors appear after ^ changes. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
Prince Canuma	1f9f4d8742	community[minor]: Add support for MLX models (chat & llm) (#18152 ) Description: This PR adds support for MLX models both chat (i.e., instruct) and llm (i.e., pretrained) types/ Dependencies: mlx, mlx_lm, transformers Twitter handle: @Prince_Canuma --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Alex Sherstinsky	5f563e040a	community: extend Predibase integration to support fine-tuned LLM adapters (#19979 ) - [x] 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" - [x] PR message: *Delete this entire checklist* and replace with - Description: Langchain-Predibase integration was failing, because it was not current with the Predibase SDK; in addition, Predibase integration tests were instantiating the Langchain Community `Predibase` class with one required argument (`model`) missing. This change updates the Predibase SDK usage and fixes the integration tests. - Twitter handle: `@alexsherstinsky` - [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/ 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: Erick Friis <erick@langchain.dev>	6 months ago
Marlene	2f03bc397e	Community: Updating Azure Retriever and Docs to be Azure AI Search instead of Azure Cognitive Search (#19925 ) Last year Microsoft [changed the name](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search) of Azure Cognitive Search to Azure AI Search. This PR updates the Langchain Azure Retriever API and it's associated docs to reflect this change. It may be confusing for users to see the name Cognitive here and AI in the Microsoft documentation which is why this is needed. I've also added a more detailed example to the Azure retriever doc page. There are more places that need a similar update but I'm breaking it up so the PRs are not too big 😄 Fixing my errors from the previous PR. Twitter: @marlene_zw Two new tests added to test backward compatibility in `libs/community/tests/integration_tests/retrievers/test_azure_cognitive_search.py` --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	6 months ago
Tomaz Bratanic	df25829f33	community[minor]: Add metadata filtering support for neo4j vector (#20001 )	6 months ago
Tomaz Bratanic	09a0ecd000	langchain[minor]: Tests update metadata filtering examples of documents (#19963 ) Removing metadata properties that are dicts as some databases don't support that, and those properties aren't used in tests anyhow..	6 months ago
Cheng, Penghui	cc407e8a1b	community[minor]: weight only quantization with intel-extension-for-transformers. (#14504 ) Support weight only quantization with intel-extension-for-transformers. [Intel® Extension for Transformers](https://github.com/intel/intel-extension-for-transformers) is an innovative toolkit to accelerate Transformer-based models on Intel platforms, in particular effective on 4th Intel Xeon Scalable processor [Sapphire Rapids](https://www.intel.com/content/www/us/en/products/docs/processors/xeon-accelerated/4th-gen-xeon-scalable-processors.html) (codenamed Sapphire Rapids). The toolkit provides the below key features: * Seamless user experience of model compressions on Transformer-based models by extending [Hugging Face transformers](https://github.com/huggingface/transformers) APIs and leveraging [Intel® Neural Compressor](https://github.com/intel/neural-compressor) * Advanced software optimizations and unique compression-aware runtime. * Optimized Transformer-based model packages. * [NeuralChat](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/neural_chat), a customizable chatbot framework to create your own chatbot within minutes by leveraging a rich set of plugins and SOTA optimizations. * [Inference](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/llm/runtime/graph) of Large Language Model (LLM) in pure C/C++ with weight-only quantization kernels. This PR is an integration of weight only quantization feature with intel-extension-for-transformers. Unit test is in lib/langchain/tests/integration_tests/llm/test_weight_only_quantization.py The notebook is in docs/docs/integrations/llms/weight_only_quantization.ipynb. The document is in docs/docs/integrations/providers/weight_only_quantization.mdx. --------- Signed-off-by: Cheng, Penghui <penghui.cheng@intel.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Erick Friis	f0d5b59962	core[patch]: remove requests (#19891 ) Removes required usage of `requests` from `langchain-core`, all of which has been deprecated. - removes Tracer V1 implementations - removes old `try_load_from_hub` github-based hub implementations Removal done in a way where imports will still succeed, and usage will fail with a `RuntimeError`.	6 months ago
Jamsheed Mistri	4f70bc119d	community[minor]: add Layerup Security integration (#19787 ) Description: adds integration with [Layerup Security](https://uselayerup.com). Docs can be found [here](https://docs.uselayerup.com). Integrates directly with our Python SDK. Dependencies: [LayerupSecurity](https://pypi.org/project/LayerupSecurity/) Note: all methods for our product require a paid API key, so I only included 1 test which checks for an invalid API key response. I have tested extensively locally. Twitter handle: [@layerup_](https://twitter.com/layerup_) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Anıl Berk Altuner	4384fa8e49	community[minor]: Add Dria retriever (#17098 ) [Dria](https://dria.co/) is a hub of public RAG models for developers to both contribute and utilize a shared embedding lake. This PR adds a retriever that can retrieve documents from Dria.	6 months ago
Chenhui Zhang	a1f3e9f537	community[minor]: Update ChatZhipuAI to support GLM-4 model (#16695 ) Description: Update `ChatZhipuAI` to support the latest `glm-4` model. Issue: N/A Dependencies: httpx, httpx-sse, PyJWT The previous `ChatZhipuAI` implementation requires the `zhipuai` package, and cannot call the latest GLM model. This is because - The old version `zhipuai==1.` doesn't support the latest model. - `zhipuai==2.` requires `pydantic V2`, which is incompatible with 'langchain-community'. This re-implementation invokes the GLM model by sending HTTP requests to [open.bigmodel.cn](https://open.bigmodel.cn/dev/api) via the `httpx` package, and uses the `httpx-sse` package to handle stream events. --------- Co-authored-by: zR <2448370773@qq.com>	6 months ago
Kenneth Choe	f98d7f7494	langchain[minor], community[minor]: add CrossEncoderReranker with HuggingFaceCrossEncoder and SagemakerEndpointCrossEncoder (#13687 ) - Description: Support reranking based on cross encoder models available from HuggingFace. - Added `CrossEncoder` schema - Implemented `HuggingFaceCrossEncoder` and `SagemakerEndpointCrossEncoder` - Implemented `CrossEncoderReranker` that performs similar functionality to `CohereRerank` - Added `cross-encoder-reranker.ipynb` to demonstrate how to use it. Please let me know if anything else needs to be done to make it visible on the table-of-contents navigation bar on the left, or on the card list on [retrievers documentation page](https://python.langchain.com/docs/integrations/retrievers). - Issue: N/A - Dependencies: None other than the existing ones. --------- Co-authored-by: Kenny Choe <kchoe@amazon.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
anshaneel	0884e5de7f	community[minor]: Add Alpha Vantage API Tool (#14332 ) ### Description This implementation adds functionality from the AlphaVantage API, renowned for its comprehensive financial data. The class encapsulates various methods, each dedicated to fetching specific types of financial information from the API. ### Implemented Functions - `search_symbols`: - Searches the AlphaVantage API for financial symbols using the provided keywords. - `_get_market_news_sentiment`: - Retrieves market news sentiment for a specified stock symbol from the AlphaVantage API. - `_get_time_series_daily`: - Fetches daily time series data for a specific symbol from the AlphaVantage API. - `_get_quote_endpoint`: - Obtains the latest price and volume information for a given symbol from the AlphaVantage API. - `_get_time_series_weekly`: - Gathers weekly time series data for a particular symbol from the AlphaVantage API. - `_get_top_gainers_losers`: - Provides details on top gainers, losers, and most actively traded tickers in the US market from the AlphaVantage API. ### Issue: - #11994 ### Dependencies: - 'requests' library for HTTP requests. (import requests) - 'pytest' library for testing. (import pytest) --------- Co-authored-by: Adam Badar <94140103+adam-badar@users.noreply.github.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Alex Sherstinsky	a9bc212bf2	community[minor]: fix failing Predibase integration (#19776 ) - [x] 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" - [x] PR message: *Delete this entire checklist* and replace with - Description: Langchain-Predibase integration was failing, because it was not current with the Predibase SDK; in addition, Predibase integration tests were instantiating the Langchain Community `Predibase` class with one required argument (`model`) missing. This change updates the Predibase SDK usage and fixes the integration tests. - Twitter handle: `@alexsherstinsky` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
M.Abdulrahman Alnaseer	ba54f1577f	community[minor]: add support for llmsherpa (#19741 ) Thank you for contributing to LangChain! - [x] PR title: "community: added support for llmsherpa library" - [x] Add tests and docs: 1. Integration test: 'docs/docs/integrations/document_loaders/test_llmsherpa.py'. 2. an example notebook: `docs/docs/integrations/document_loaders/llmsherpa.ipynb`. - [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/ 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: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Hrvoje Milković	b7344e3347	community[minor]: Infobip tool integration (#16805 ) Description: Adding Tool that wraps Infobip API for sending sms or emails and email validation. Dependencies: None, Twitter handle: @hmilkovic Implementation: ``` libs/community/langchain_community/utilities/infobip.py ``` Integration tests: ``` libs/community/tests/integration_tests/utilities/test_infobip.py ``` Example notebook: ``` docs/docs/integrations/tools/infobip.ipynb ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
morgana	074ad5095f	community[patch]: mmr search for Rockset vectorstore integration (#16908 ) - Description: Adding support for mmr search in the Rockset vectorstore integration. - Issue: N/A - Dependencies: N/A - Twitter handle: `@_morgan_adams_` --------- Co-authored-by: Rockset API Bot <admin@rockset.io> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Tomaz Bratanic	dec00d3050	community[patch]: Add the ability to pass maps to neo4j retrieval query (#19758 ) Makes it easier to flatten complex values to text, so you don't have to use a lot of Cypher to do it.	6 months ago
Jiaming	3d3cc71287	community[patch]: fix bugs for bilibili Loader (#18036 ) - Description: 1. Fix the BiliBiliLoader that can receive cookie parameters, it requires 3 other parameters to run. The change is backward compatible. 2. Add test; 3. Add example in docs - Issue: [#14213] Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Sachin Paryani	25c9f3d1d1	community[patch]: Support Streaming in Azure Machine Learning (#18246 ) - [x] PR title: "community: Support streaming in Azure ML and few naming changes" - [x] PR message: - Description: Added support for streaming for azureml_endpoint. Also, renamed and AzureMLEndpointApiType.realtime to AzureMLEndpointApiType.dedicated. Also, added new classes CustomOpenAIChatContentFormatter and CustomOpenAIContentFormatter and updated the classes LlamaChatContentFormatter and LlamaContentFormatter to now show a deprecated warning message when instantiated. --------- Co-authored-by: Sachin Paryani <saparan@microsoft.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
wulixuan	b7c8bc8268	community[patch]: fix yuan2 errors in LLMs (#19004 ) 1. fix yuan2 errors while invoke Yuan2. 2. update tests.	6 months ago
Davide Menini	f7042321f1	community[patch]: gather token usage info in BedrockChat during generation (#19127 ) This PR allows to calculate token usage for prompts and completion directly in the generation method of BedrockChat. The token usage details are then returned together with the generations, so that other downstream tasks can access them easily. This allows to define a callback for tokens tracking and cost calculation, similarly to what happens with OpenAI (see [OpenAICallbackHandler](https://api.python.langchain.com/en/latest/_modules/langchain_community/callbacks/openai_info.html#OpenAICallbackHandler). I plan on adding a BedrockCallbackHandler later. Right now keeping track of tokens in the callback is already possible, but it requires passing the llm, as done here: https://how.wtf/how-to-count-amazon-bedrock-anthropic-tokens-with-langchain.html. However, I find the approach of this PR cleaner. Thanks for your reviews. FYI @baskaryan, @hwchase17 --------- Co-authored-by: taamedag <Davide.Menini@swisscom.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Shengsheng Huang	ac1dd8ad94	community[minor]: migrate `bigdl-llm` to `ipex-llm` (#19518 ) - Description: `bigdl-llm` library has been renamed to [`ipex-llm`](https://github.com/intel-analytics/ipex-llm). This PR migrates the `bigdl-llm` integration to `ipex-llm` . - Issue: N/A. The original PR of `bigdl-llm` is https://github.com/langchain-ai/langchain/pull/17953 - Dependencies: `ipex-llm` library - Contribution maintainer: @shane-huang Updated doc: docs/docs/integrations/llms/ipex_llm.ipynb Updated test: libs/community/tests/integration_tests/llms/test_ipex_llm.py	6 months ago
Chaunte W. Lacewell	a31f692f4e	community[minor]: Add VDMS vectorstore (#19551 ) - Description: Add support for Intel Lab's [Visual Data Management System (VDMS)](https://github.com/IntelLabs/vdms) as a vector store - Dependencies: `vdms` library which requires protobuf = "4.24.2". There is a conflict with dashvector in `langchain` package but conflict is resolved in `community`. - Contribution maintainer: [@cwlacewe](https://github.com/cwlacewe) - Added tests: libs/community/tests/integration_tests/vectorstores/test_vdms.py - Added docs: docs/docs/integrations/vectorstores/vdms.ipynb - Added cookbook: cookbook/multi_modal_RAG_vdms.ipynb --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
yongheng.liu	7e29b6061f	community[minor]: integrate China Mobile Ecloud vector search (#15298 ) - Description: integrate China Mobile Ecloud vector search, - Dependencies: elasticsearch==7.10.1 Co-authored-by: liuyongheng <liuyongheng@cmss.chinamobile.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
CaroFG	cf96060ab7	community[patch]: update for compatibility with latest Meilisearch version (#18970 ) - Description: Updates Meilisearch vectorstore for compatibility with v1.6 and above. Adds embedders settings and embedder_name which are now required. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Adrian Valente	2763d8cbe5	community: add len() implementation to Chroma (#19419 ) Thank you for contributing to LangChain! - [x] Add len() implementation to Chroma: "package: community" - [x] PR message: - Description: add an implementation of the __len__() method for the Chroma vectostore, for convenience. - Issue: no exposed method to know the size of a Chroma vectorstore - Dependencies: None - Twitter handle: lowrank_adrian - [x] Add tests and docs - [x] Lint and test --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Aayush Kataria	03c38005cb	community[patch]: Fixing some caching issues for AzureCosmosDBSemanticCache (#18884 ) Fixing some issues for AzureCosmosDBSemanticCache - Added the entry for "AzureCosmosDBSemanticCache" which was missing in langchain/cache.py - Added application name when creating the MongoClient for the AzureCosmosDBVectorSearch, for tracking purposes. @baskaryan, can you please review this PR, we need this to go in asap. These are just small fixes which we found today in our testing.	6 months ago
Anindyadeep	b2a11ce686	community[minor]: Prem AI langchain integration (#19113 ) ### Prem SDK integration in LangChain This PR adds the integration with [PremAI's](https://www.premai.io/) prem-sdk with langchain. User can now access to deployed models (llms/embeddings) and use it with langchain's ecosystem. This PR adds the following: ### This PR adds the following: - [x] Add chat support - [X] Adding embedding support - [X] writing integration tests - [X] writing tests for chat - [X] writing tests for embedding - [X] writing unit tests - [X] writing tests for chat - [X] writing tests for embedding - [X] Adding documentation - [X] writing documentation for chat - [X] writing documentation for embedding - [X] run `make test` - [X] run `make lint`, `make lint_diff` - [X] Final checks (spell check, lint, format and overall testing) --------- Co-authored-by: Anindyadeep Sannigrahi <anindyadeepsannigrahi@Anindyadeeps-MacBook-Pro.local> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Marlene	f1313339ac	community[patch]: Fixing incorrect base URLs for Azure Cognitive Search Retriever (#19352 ) This PR adds code to make sure that the correct base URL is being created for the Azure Cognitive Search retriever. At the moment an incorrect base URL is being generated. I think this is happening because the original code was based on a depreciated API version. No dependencies need to be added. I've also added more context to the test doc strings. I should also note that ACS is now Azure AI Search. I will open a separate PR to make these changes as that would be a breaking change and should potentially be discussed. Twitter: @marlene_zw - No new tests added, however the current ACS retriever tests are now passing when I run them. - Code was linted. Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Martin Kolb	e5bdb26f76	community[patch]: More flexible handling for entity names in vector store "HANA Cloud" (#19523 ) - Description: Added support for lower-case and mixed-case names The names for tables and columns previouly had to be UPPER_CASE. With this enhancement, also lower_case and MixedCase are supported, - Issue: N/A - Dependencies: no new dependecies added - Twitter handle: @sapopensource	6 months ago
Igor Muniz Soares	743f888580	community[minor]: Dappier chat model integration (#19370 ) Description: This PR adds [Dappier](https://dappier.com/) for the chat model. It supports generate, async generate, and batch functionalities. We added unit and integration tests as well as a notebook with more details about our chat model. Dependencies: No extra dependencies are needed.	6 months ago
Hugoberry	96dc180883	community[minor]: Add `DuckDB` as a vectorstore (#18916 ) DuckDB has a cosine similarity function along list and array data types, which can be used as a vector store. - Description: The latest version of DuckDB features a cosine similarity function, which can be used with its support for list or array column types. This PR surfaces this functionality to langchain. - Dependencies: duckdb 0.10.0 - Twitter handle: @igocrite --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Nithish Raghunandanan	7ad0a3f2a7	community: add Couchbase Vector Store (#18994 ) - Description: Added support for Couchbase Vector Search to LangChain. - Dependencies: couchbase>=4.1.12 - Twitter handle: @nithishr --------- Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com>	6 months ago
Vittorio Rigamonti	9b2f9ee952	community: VectorStore Infinispan, adding autoconfiguration (#18967 ) Description: this PR enable VectorStore autoconfiguration for Infinispan: if metadatas are only of basic types, protobuf config will be automatically generated for the user.	6 months ago
Pengfei Jiang	514fe80778	community[patch]: add stop parameter support to volcengine maas (#19052 ) - Description: add stop parameter to volcengine maas model - Dependencies: no --------- Co-authored-by: 江鹏飞 <jiangpengfei.jiangpf@bytedance.com>	6 months ago
wulixuan	0e0030f494	community[patch]: fix yuan2 chat model errors while invoke. (#19015 ) 1. fix yuan2 chat model errors while invoke. 2. update related tests. 3. fix some deprecationWarning.	6 months ago
Eugene Yurtsev	6cdca4355d	community[minor]: Revamp PGVector Filtering (#18992 ) This PR makes the following updates in the pgvector database: 1. Use JSONB field for metadata instead of JSON 2. Update operator syntax to include required `$` prefix before the operators (otherwise there will be name collisions with fields) 3. The change is non-breaking, old functionality is still the default, but it will emit a deprecation warning 4. Previous functionality has bugs associated with comparisons due to casting to text (so lexical ordering is used incorrectly for numeric fields) 5. Adds an a GIN index on the JSONB field for more efficient querying	6 months ago
Joshua Carroll	ddaf9de169	community: Fix bug with StreamlitChatMessageHistory (#18834 ) - Description: Fix Streamlit bug which was introduced by https://github.com/langchain-ai/langchain/pull/18250, update integration test - Issue: https://github.com/langchain-ai/langchain/issues/18684 - Dependencies: None	7 months ago
Ishani Vyas	2b0cbd65ba	community[patch]: Add Passio Nutrition AI Food Search Tool to Community Package (#18278 ) ## Add Passio Nutrition AI Food Search Tool to Community Package ### Description We propose adding a new tool to the `community` package, enabling integration with Passio Nutrition AI for food search functionality. This tool will provide a simple interface for retrieving nutrition facts through the Passio Nutrition AI API, simplifying user access to nutrition data based on food search queries. ### Implementation Details - Class Structure: Implement `NutritionAI`, extending `BaseTool`. It includes an `_run` method that accepts a query string and, optionally, a `CallbackManagerForToolRun`. - API Integration: Use `NutritionAIAPI` for the API wrapper, encapsulating all interactions with the Passio Nutrition AI and providing a clean API interface. - Error Handling: Implement comprehensive error handling for API request failures. ### Expected Outcome - User Benefits: Enable easy querying of nutrition facts from Passio Nutrition AI, enhancing the utility of the `langchain_community` package for nutrition-related projects. - Functionality: Provide a straightforward method for integrating nutrition information retrieval into users' applications. ### Dependencies - `langchain_core` for base tooling support - `pydantic` for data validation and settings management - Consider `requests` or another HTTP client library if not covered by `NutritionAIAPI`. ### Tests and Documentation - Unit Tests: Include tests that mock network interactions to ensure tool reliability without external API dependency. - Documentation: Create an example notebook in `docs/docs/integrations/tools/passio_nutrition_ai.ipynb` showing usage, setup, and example queries. ### Contribution Guidelines Compliance - Adhere to the project's linting and formatting standards (`make format`, `make lint`, `make test`). - Ensure compliance with LangChain's contribution guidelines, particularly around dependency management and package modifications. ### Additional Notes - Aim for the tool to be a lightweight, focused addition, not introducing significant new dependencies or complexity. - Potential future enhancements could include caching for common queries to improve performance. ### Twitter Handle - Here is our Passio AI [twitter handle](https://twitter.com/@passio_ai) where we announce our products. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	7 months ago
Eugene Yurtsev	1f50274df7	community[patch]: Add pgvector to docker compose and update settings used in integration test (#18815 )	7 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	7 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) ```	7 months ago
Erick Friis	1beb84b061	community[patch]: move pdf text tests to integration (#18746 )	7 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>	7 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	7 months ago
Eugene Yurtsev	4c25b49229	community[major]: breaking change in some APIs to force users to opt-in for pickling (#18696 ) This is a PR that adds a dangerous load parameter to force users to opt in to use pickle. This is a PR that's meant to raise user awareness that the pickling module is involved.	7 months ago
Tomaz Bratanic	ea51cdaede	Remove neo4j bloom labels from graph schema (#18564 ) Neo4j tools use particular node labels and relationship types to store metadata, but are irrelevant for text2cypher or graph generation, so we want to ignore them in the schema representation.	7 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,	7 months ago
Tomaz Bratanic	f6bfb969ba	community[patch]: Add an option for indexed generic label when import neo4j graph documents (#18122 ) Current implementation doesn't have an indexed property that would optimize the import. I have added a `baseEntityLabel` parameter that allows you to add a secondary node label, which has an indexed id `property`. By default, the behaviour is identical to previous version. Since multi-labeled nodes are terrible for text2cypher, I removed the secondary label from schema representation object and string, which is used in text2cypher.	7 months ago
Arun Sathiya	4adac20d7b	community[patch]: Make cohere_api_key a SecretStr (#12188 ) This PR makes `cohere_api_key` in `llms/cohere` a SecretStr, so that the API Key is not leaked when `Cohere.cohere_api_key` is represented as a string. --------- Signed-off-by: Arun <arun@arun.blog> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	7 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>	7 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	7 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>	7 months ago
Kai Kugler	df234fb171	community[patch]: Fixing embedchain document mapping (#18255 ) - Description: The current embedchain implementation seems to handle document metadata differently than done in the current implementation of langchain and a KeyError is thrown. I would love for someone else to test this... --------- Co-authored-by: KKUGLER <kai.kugler@mercedes-benz.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Deshraj Yadav <deshraj@gatech.edu>	7 months ago
Tomaz Bratanic	5999c4a240	Add support for parameters in neo4j retrieval query (#18310 ) Sometimes, you want to use various parameters in the retrieval query of Neo4j Vector to personalize/customize results. Before, when there were only predefined chains, it didn't really make sense. Now that it's all about custom chains and LCEL, it is worth adding since users can inject any params they wish at query time. Isn't prone to SQL injection-type attacks since we use parameters and not concatenating strings.	7 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 ``` ![image](https://github.com/langchain-ai/langchain/assets/453543/42be233c-eb37-4c76-a830-474276e01436) --------- Co-authored-by: Andreas Motl <andreas.motl@crate.io>	7 months ago
am-kinetica	9b8f6455b1	Langchain vectorstore integration with Kinetica (#18102 ) - Description: New vectorstore integration with the Kinetica database - Issue: - Dependencies: the Kinetica Python API `pip install gpudb==7.2.0.1`, - Tag maintainer: @baskaryan, @hwchase17 - Twitter handle: --------- Co-authored-by: Chad Juliano <cjuliano@kinetica.com>	7 months ago
Dan Stambler	69344a0661	community: Add Laser Embedding Integration (#18111 ) - Description: Added Integration with Meta AI's LASER Language-Agnostic SEntence Representations embedding library, which supports multilingual embedding for any of the languages listed here: https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200, including several low resource languages - Dependencies: laser_encoders	7 months ago
2jimoo	7fc903464a	community: Add document manager and mongo document manager (#17320 ) - Description: - Add DocumentManager class, which is a nosql record manager. - In order to use index and aindex in libs/langchain/langchain/indexes/_api.py, DocumentManager inherits RecordManager. - Also I added the MongoDB implementation of Document Manager too. - Dependencies: pymongo, motor <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - Description: Add DocumentManager class, which is a no sql record manager. To use index method and aindex method in indexes._api.py, Document Manager inherits RecordManager.Add the MongoDB implementation of Document Manager. - Dependencies: pymongo, motor Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	7 months ago
Chad Juliano	50ba3c68bb	community[minor]: add Kinetica LLM wrapper (#17879 ) Description: Initial pull request for Kinetica LLM wrapper Issue: N/A Dependencies: No new dependencies for unit tests. Integration tests require gpudb, typeguard, and faker Twitter handle: @chad_juliano Note: There is another pull request for Kinetica vectorstore. Ultimately we would like to make a partner package but we are starting with a community contribution.	7 months ago
Ian	3019a594b7	community[minor]: Add tidb loader support (#17788 ) This pull request support loading data from TiDB database with Langchain. A simple usage: ``` from langchain_community.document_loaders import TiDBLoader CONNECTION_STRING = "mysql+pymysql://root@127.0.0.1:4000/test" QUERY = "select id, name, description from items;" loader = TiDBLoader( connection_string=CONNECTION_STRING, query=QUERY, page_content_columns=["name", "description"], metadata_columns=["id"], ) documents = loader.load() print(documents) ```	7 months ago
ehude	9e54c227f1	community[patch]: Bug Neo4j VectorStore when having multiple indexes the sort is not working and the store that returned is random (#17396 ) Bug fix: when having multiple indexes the sort is not working and the store that returned is random. The following small fix resolves the issue.	7 months ago
volodymyr-memsql	0a9a519a39	community[patch]: Added add_images method to SingleStoreDB vector store (#17871 ) In this pull request, we introduce the add_images method to the SingleStoreDB vector store class, expanding its capabilities to handle multi-modal embeddings seamlessly. This method facilitates the incorporation of image data into the vector store by associating each image's URI with corresponding document content, metadata, and either pre-generated embeddings or embeddings computed using the embed_image method of the provided embedding object. the change includes integration tests, validating the behavior of the add_images. Additionally, we provide a notebook showcasing the usage of this new method. --------- Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com>	7 months ago
Guangdong Liu	47b1b7092d	community[minor]: Add SparkLLM to community (#17702 )	7 months ago
Guangdong Liu	3ba1cb8650	community[minor]: Add SparkLLM Text Embedding Model and SparkLLM introduction (#17573 )	7 months ago
Aymeric Roucher	0d294760e7	Community: Fuse HuggingFace Endpoint-related classes into one (#17254 ) ## Description Fuse HuggingFace Endpoint-related classes into one: - [HuggingFaceHub](`5ceaf784f3/libs/community/langchain_community/llms/huggingface_hub.py`) - [HuggingFaceTextGenInference](`5ceaf784f3/libs/community/langchain_community/llms/huggingface_text_gen_inference.py`) - and [HuggingFaceEndpoint](`5ceaf784f3/libs/community/langchain_community/llms/huggingface_endpoint.py`) Are fused into - HuggingFaceEndpoint ## Issue The deduplication of classes was creating a lack of clarity, and additional effort to develop classes leads to issues like [this hack](`5ceaf784f3/libs/community/langchain_community/llms/huggingface_endpoint.py (L159)`). ## Dependancies None, this removes dependancies. ## Twitter handle If you want to post about this: @AymericRoucher --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Raghav Dixit	6c18f73ca5	community[patch]: LanceDB integration improvements/fixes (#16173 ) Hi, I'm from the LanceDB team. Improves LanceDB integration by making it easier to use - now you aren't required to create tables manually and pass them in the constructor, although that is still backward compatible. Bug fix - pandas was being used even though it's not a dependency for LanceDB or langchain PS - this issue was raised a few months ago but lost traction. It is a feature improvement for our users kindly review this , Thanks !	7 months ago
Christophe Bornet	e92e96193f	community[minor]: Add async methods to the AstraDB BaseStore (#16872 ) --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	7 months ago
morgana	9d7ca7df6e	community[patch]: update copy of metadata in rockset vectorstore integration (#17612 ) - Description: This fixes an issue with working with RecordManager. RecordManager was generating new hashes on documents because `add_texts` was modifying the metadata directly. Additionally moved some tests to unit tests since that was a more appropriate home. - Issue: N/A - Dependencies: N/A - Twitter handle: `@_morgan_adams_`	7 months ago
Amir Karbasi	bccc9241ea	community[patch]: Resolve KuzuQAChain API Changes (#16885 ) - Description: Updates to the Kuzu API had broken this functionality. These updates resolve those issues and add a new test to demonstrate the updates. - Issue: #11874 - Dependencies: No new dependencies - Twitter handle: @amirk08 Test results: ``` tests/integration_tests/graphs/test_kuzu.py::TestKuzu::test_query_no_params PASSED [ 33%] tests/integration_tests/graphs/test_kuzu.py::TestKuzu::test_query_params PASSED [ 66%] tests/integration_tests/graphs/test_kuzu.py::TestKuzu::test_refresh_schema PASSED [100%] =================================================== slowest 5 durations =================================================== 0.53s call tests/integration_tests/graphs/test_kuzu.py::TestKuzu::test_refresh_schema 0.34s call tests/integration_tests/graphs/test_kuzu.py::TestKuzu::test_query_no_params 0.28s call tests/integration_tests/graphs/test_kuzu.py::TestKuzu::test_query_params 0.03s teardown tests/integration_tests/graphs/test_kuzu.py::TestKuzu::test_refresh_schema 0.02s teardown tests/integration_tests/graphs/test_kuzu.py::TestKuzu::test_query_params ==================================================== 3 passed in 1.27s ==================================================== ```	7 months ago
Christophe Bornet	789cd5198d	community[patch]: Use astrapy built-in pagination prefetch in AstraDBLoader (#17569 )	7 months ago
Christophe Bornet	ff1f985a2a	community: Fix some mypy types in cassandra doc loader (#17570 ) Thank you!	7 months ago
wulixuan	c776cfc599	community[minor]: integrate with model Yuan2.0 (#15411 ) 1. integrate with [`Yuan2.0`](https://github.com/IEIT-Yuan/Yuan-2.0/blob/main/README-EN.md) 2. update `langchain.llms` 3. add a new doc for [Yuan2.0 integration](docs/docs/integrations/llms/yuan2.ipynb) --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
volodymyr-memsql	e36bc379f2	community[patch]: Add vector index support to SingleStoreDB VectorStore (#17308 ) This pull request introduces support for various Approximate Nearest Neighbor (ANN) vector index algorithms in the VectorStore class, starting from version 8.5 of SingleStore DB. Leveraging this enhancement enables users to harness the power of vector indexing, significantly boosting search speed, particularly when handling large sets of vectors. --------- Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Kate Silverstein	0bc4a9b3fc	community[minor]: Adds Llamafile as an LLM (#17431 ) * Description: Adds a simple LLM implementation for interacting with [llamafile](https://github.com/Mozilla-Ocho/llamafile)-based models. * Dependencies: N/A * Issue: N/A Detail [llamafile](https://github.com/Mozilla-Ocho/llamafile) lets you run LLMs locally from a single file on most computers without installing any dependencies. To use the llamafile LLM implementation, the user needs to: 1. Download a llamafile e.g. https://huggingface.co/jartine/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/TinyLlama-1.1B-Chat-v1.0.Q5_K_M.llamafile?download=true 2. Make the file executable. 3. Run the llamafile in 'server mode'. (All llamafiles come packaged with a lightweight server; by default, the server listens at `http://localhost:8080`.) ```bash wget https://url/of/model.llamafile chmod +x model.llamafile ./model.llamafile --server --nobrowser ``` Now, the user can invoke the LLM via the LangChain client: ```python from langchain_community.llms.llamafile import Llamafile llm = Llamafile() llm.invoke("Tell me a joke.") ```	7 months ago
Qihui Xie	5738143d4b	add mongodb_store (#13801 ) # Add MongoDB storage - Description: Add MongoDB Storage as an option for large doc store. Example usage: ```Python # Instantiate the MongodbStore with a MongoDB connection from langchain.storage import MongodbStore mongo_conn_str = "mongodb://localhost:27017/" mongodb_store = MongodbStore(mongo_conn_str, db_name="test-db", collection_name="test-collection") # Set values for keys doc1 = Document(page_content='test1') doc2 = Document(page_content='test2') mongodb_store.mset([("key1", doc1), ("key2", doc2)]) # Get values for keys values = mongodb_store.mget(["key1", "key2"]) # [doc1, doc2] # Iterate over keys for key in mongodb_store.yield_keys(): print(key) # Delete keys mongodb_store.mdelete(["key1", "key2"]) ``` - Dependencies: Use `mongomock` for integration test. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	7 months ago
wulixuan	5d06797905	community[minor]: integrate chat models with Yuan2.0 (#16575 ) 1. integrate chat models with [`Yuan2.0`](https://github.com/IEIT-Yuan/Yuan-2.0/blob/main/README-EN.md) 2. add a new doc for [Yuan2.0 integration](docs/docs/integrations/llms/yuan2.ipynb) Yuan2.0 is a new generation Fundamental Large Language Model developed by IEIT System. We have published all three models, Yuan 2.0-102B, Yuan 2.0-51B, and Yuan 2.0-2B. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Chris	f9f5626ca4	community[patch]: Fix github search issues and PRs PaginatedList has no len() error (#16806 ) Description: Bugfix: Langchain_community's GitHub Api wrapper throws a TypeError when searching for issues and/or PRs (the `search_issues_and_prs` method). This is because PyGithub's PageinatedList type does not support the len() method. See https://github.com/PyGithub/PyGithub/issues/1476 ![image](https://github.com/langchain-ai/langchain/assets/8849021/57390b11-ed41-4f48-ba50-f3028610789c) Dependencies: None Twitter handle: @ChrisKeoghNZ I haven't registered an issue as it would take me longer to fill the template out than to make the fix, but I'm happy to if that's deemed essential. I've added a simple integration test to cover this as there were no existing unit tests and it was going to be tricky to set them up. Co-authored-by: Chris Keogh <chris.keogh@xero.com>	7 months ago
morgana	722aae4fd1	community: add delete method to rocksetdb vectorstore to support recordmanager (#17030 ) - Description: This adds a delete method so that rocksetdb can be used with `RecordManager`. - Issue: N/A - Dependencies: N/A - Twitter handle: `@_morgan_adams_` --------- Co-authored-by: Rockset API Bot <admin@rockset.io>	7 months ago
yin1991	37ef6ac113	community[patch]: Add Pagination to GitHubIssuesLoader for Efficient GitHub Issues Retrieval (#16934 ) - Description: Add Pagination to GitHubIssuesLoader for Efficient GitHub Issues Retrieval - Issue: [the issue # it fixes if applicable,](https://github.com/langchain-ai/langchain/issues/16864) --------- Co-authored-by: root <root@ip-172-31-46-160.ap-southeast-1.compute.internal> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Erick Friis	3a2eb6e12b	infra: add print rule to ruff (#16221 ) Added noqa for existing prints. Can slowly remove / will prevent more being intro'd	8 months ago
Quang Hoa	54c1fb3f25	community[patch]: Make some functions work with Milvus (#10695 ) Description Make some functions work with Milvus: 1. get_ids: Get primary keys by field in the metadata 2. delete: Delete one or more entities by ids 3. upsert: Update/Insert one or more entities Issue None Dependencies None Tag maintainer: @hwchase17 Twitter handle: None --------- Co-authored-by: HoaNQ9 <hoanq.1811@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
Armin Stepanyan	641efcf41c	community: add runtime kwargs to HuggingFacePipeline (#17005 ) This PR enables changing the behaviour of huggingface pipeline between different calls. For example, before this PR there's no way of changing maximum generation length between different invocations of the chain. This is desirable in cases, such as when we want to scale the maximum output size depending on a dynamic prompt size. Usage example: ```python from langchain_community.llms.huggingface_pipeline import HuggingFacePipeline from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline model_id = "gpt2" tokenizer = AutoTokenizer.from_pretrained(model_id) model = AutoModelForCausalLM.from_pretrained(model_id) pipe = pipeline("text-generation", model=model, tokenizer=tokenizer) hf = HuggingFacePipeline(pipeline=pipe) hf("Say foo:", pipeline_kwargs={"max_new_tokens": 42}) ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Neli Hateva	9bb5157a3d	langchain[patch], community[patch]: Fixes in the Ontotext GraphDB Graph and QA Chain (#17239 ) - Description: Fixes in the Ontotext GraphDB Graph and QA Chain related to the error handling in case of invalid SPARQL queries, for which `prepareQuery` doesn't throw an exception, but the server returns 400 and the query is indeed invalid - Issue: N/A - Dependencies: N/A - Twitter handle: @OntotextGraphDB	8 months ago
Bagatur	6e2ed9671f	infra: fix breebs test lint (#17075 )	8 months ago
Alex Boury	334b6ebdf3	community[minor]: Breebs docs retriever (#16578 ) - Description: Implementation of breeb retriever with integration tests -> libs/community/tests/integration_tests/retrievers/test_breebs.py and documentation (notebook) -> docs/docs/integrations/retrievers/breebs.ipynb. - Dependencies: None	8 months ago
Harrison Chase	4eda647fdd	infra: add -p to mkdir in lint steps (#17013 ) Previously, if this did not find a mypy cache then it wouldnt run this makes it always run adding mypy ignore comments with existing uncaught issues to unblock other prs --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	8 months ago
Killinsun - Ryota Takeuchi	bcfce146d8	community[patch]: Correct the calling to collection_name in qdrant (#16920 ) ## Description In #16608, the calling `collection_name` was wrong. I made a fix for it. Sorry for the inconvenience! ## Issue https://github.com/langchain-ai/langchain/issues/16962 ## Dependencies N/A <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes if applicable, - Dependencies: any dependencies required for this change, - 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! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Kumar Shivendu <kshivendu1@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Erick Friis	b1a847366c	community: revert SQL Stores (#16912 ) This reverts commit `cfc225ecb3`. https://github.com/langchain-ai/langchain/pull/15909#issuecomment-1922418097 These will have existed in langchain-community 0.0.16 and 0.0.17.	8 months ago
Christophe Bornet	744070ee85	Add async methods for the AstraDB VectorStore (#16391 ) - Description: fully async versions are available for astrapy 0.7+. For older astrapy versions or if the user provides a sync client without an async one, the async methods will call the sync ones wrapped in `run_in_executor` - Twitter handle: cbornet_	8 months ago
baichuan-assistant	f8f2649f12	community: Add Baichuan LLM to community (#16724 ) Replace this entire comment with: - Description: Add Baichuan LLM to integration/llm, also updated related docs. Co-authored-by: BaiChuanHelper <wintergyc@WinterGYCs-MacBook-Pro.local>	8 months ago
Volodymyr Machula	32c5be8b73	community[minor]: Connery Tool and Toolkit (#14506 ) ## Summary This PR implements the "Connery Action Tool" and "Connery Toolkit". Using them, you can integrate Connery actions into your LangChain agents and chains. Connery is an open-source plugin infrastructure for AI. With Connery, you can easily create a custom plugin with a set of actions and seamlessly integrate them into your LangChain agents and chains. Connery will handle the rest: runtime, authorization, secret management, access management, audit logs, and other vital features. Additionally, Connery and our community offer a wide range of ready-to-use open-source plugins for your convenience. Learn more about Connery: - GitHub: https://github.com/connery-io/connery-platform - Documentation: https://docs.connery.io - Twitter: https://twitter.com/connery_io ## TODOs - [x] API wrapper - [x] Integration tests - [x] Connery Action Tool - [x] Docs - [x] Example - [x] Integration tests - [x] Connery Toolkit - [x] Docs - [x] Example - [x] Formatting (`make format`) - [x] Linting (`make lint`) - [x] Testing (`make test`)	8 months ago
Harrison Chase	8457c31c04	community[patch]: activeloop ai tql deprecation (#14634 ) Co-authored-by: AdkSarsen <adilkhan@activeloop.ai>	8 months ago
Neli Hateva	c95facc293	langchain[minor], community[minor]: Implement Ontotext GraphDB QA Chain (#16019 ) - Description: Implement Ontotext GraphDB QA Chain - Issue: N/A - Dependencies: N/A - Twitter handle: @OntotextGraphDB	8 months ago
Jael Gu	a1aa3a657c	community[patch]: Milvus supports add & delete texts by ids (#16256 ) # Description To support [langchain indexing](https://python.langchain.com/docs/modules/data_connection/indexing) as requested by users, vectorstore Milvus needs to support: - document addition by id (`add_documents` method with `ids` argument) - delete by id (`delete` method with `ids` argument) Example usage: ```python from langchain.indexes import SQLRecordManager, index from langchain.schema import Document from langchain_community.vectorstores import Milvus from langchain_openai import OpenAIEmbeddings collection_name = "test_index" embedding = OpenAIEmbeddings() vectorstore = Milvus(embedding_function=embedding, collection_name=collection_name) namespace = f"milvus/{collection_name}" record_manager = SQLRecordManager( namespace, db_url="sqlite:///record_manager_cache.sql" ) record_manager.create_schema() doc1 = Document(page_content="kitty", metadata={"source": "kitty.txt"}) doc2 = Document(page_content="doggy", metadata={"source": "doggy.txt"}) index( [doc1, doc1, doc2], record_manager, vectorstore, cleanup="incremental", # None, "incremental", or "full" source_id_key="source", ) ``` # Fix issues Fix https://github.com/milvus-io/milvus/issues/30112 --------- Signed-off-by: Jael Gu <mengjia.gu@zilliz.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Benito Geordie	f3fdc5c5da	community: Added integrations for ThirdAI's NeuralDB with Retriever and VectorStore frameworks (#15280 ) Description: Adds ThirdAI NeuralDB retriever and vectorstore integration. NeuralDB is a CPU-friendly and fine-tunable text retrieval engine.	8 months ago
Christophe Bornet	2e3af04080	Use Postponed Evaluation of Annotations in Astra and Cassandra doc loaders (#16694 ) Minor/cosmetic change	8 months ago
Christophe Bornet	36e432672a	community[minor]: Add async methods to AstraDBLoader (#16652 )	8 months ago
Christophe Bornet	4915c3cd86	[Fix] Fix Cassandra Document loader default page content mapper (#16273 ) We can't use `json.dumps` by default as many types returned by the cassandra driver are not serializable. It's safer to use `str` and let users define their own custom `page_content_mapper` if needed.	8 months ago
baichuan-assistant	70ff54eace	community[minor]: Add Baichuan Text Embedding Model and Baichuan Inc introduction (#16568 ) - Description: Adding Baichuan Text Embedding Model and Baichuan Inc introduction. Baichuan Text Embedding ranks #1 in C-MTEB leaderboard: https://huggingface.co/spaces/mteb/leaderboard Co-authored-by: BaiChuanHelper <wintergyc@WinterGYCs-MacBook-Pro.local>	8 months ago
Ghani	e30c6662df	Langchain-community : EdenAI chat integration. (#16377 ) - Description: This PR adds [EdenAI](https://edenai.co/) for the chat model (already available in LLM & Embeddings). It supports all [ChatModel] functionality: generate, async generate, stream, astream and batch. A detailed notebook was added. - Dependencies: No dependencies are added as we call a rest API. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	8 months ago
Brian Burgin	148347e858	community[minor]: Add LiteLLM Router Integration (#15588 ) community: - Description: - Add new ChatLiteLLMRouter class that allows a client to use a LiteLLM Router as a LangChain chat model. - Note: The existing ChatLiteLLM integration did not cover the LiteLLM Router class. - Add tests and Jupyter notebook. - Issue: None - Dependencies: Relies on existing ChatLiteLLM integration - Twitter handle: @bburgin_0 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Harel Gal	a91181fe6d	community[minor]: add support for Guardrails for Amazon Bedrock (#15099 ) Added support for optionally supplying 'Guardrails for Amazon Bedrock' on both types of model invocations (batch/regular and streaming) and for all models supported by the Amazon Bedrock service. @baskaryan @hwchase17 ```python llm = Bedrock(model_id="<model_id>", client=bedrock, model_kwargs={}, guardrails={"id": " <guardrail_id>", "version": "<guardrail_version>", "trace": True}, callbacks=[BedrockAsyncCallbackHandler()]) class BedrockAsyncCallbackHandler(AsyncCallbackHandler): """Async callback handler that can be used to handle callbacks from langchain.""" async def on_llm_error( self, error: BaseException, **kwargs: Any, ) -> Any: reason = kwargs.get("reason") if reason == "GUARDRAIL_INTERVENED": # kwargs contains additional trace information sent by 'Guardrails for Bedrock' service. print(f"""Guardrails: {kwargs}""") # streaming llm = Bedrock(model_id="<model_id>", client=bedrock, model_kwargs={}, streaming=True, guardrails={"id": "<guardrail_id>", "version": "<guardrail_version>"}) ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Martin Kolb	04651f0248	community[minor]: VectorStore integration for SAP HANA Cloud Vector Engine (#16514 ) - Description: This PR adds a VectorStore integration for SAP HANA Cloud Vector Engine, which is an upcoming feature in the SAP HANA Cloud database (https://blogs.sap.com/2023/11/02/sap-hana-clouds-vector-engine-announcement/). - Issue: N/A - Dependencies: [SAP HANA Python Client](https://pypi.org/project/hdbcli/) - Twitter handle: @sapopensource Implementation of the integration: `libs/community/langchain_community/vectorstores/hanavector.py` Unit tests: `libs/community/tests/unit_tests/vectorstores/test_hanavector.py` Integration tests: `libs/community/tests/integration_tests/vectorstores/test_hanavector.py` Example notebook: `docs/docs/integrations/vectorstores/hanavector.ipynb` Access credentials for execution of the integration tests can be provided to the maintainers. --------- Co-authored-by: sascha <sascha.stoll@sap.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Raunak	476bf8b763	community[patch]: Load list of files using UnstructuredFileLoader (#16216 ) - Description: Updated `_get_elements()` function of `UnstructuredFileLoader `class to check if the argument self.file_path is a file or list of files. If it is a list of files then it iterates over the list of file paths, calls the partition function for each one, and appends the results to the elements list. If self.file_path is not a list, it calls the partition function as before. - Issue: Fixed #15607, - Dependencies: NA - Twitter handle: NA Co-authored-by: H161961 <Raunak.Raunak@Honeywell.com>	8 months ago
Xudong Sun	019b6ebe8d	community[minor]: Add iFlyTek Spark LLM chat model support (#13389 ) - Description: This PR enables LangChain to access the iFlyTek's Spark LLM via the chat_models wrapper. - Dependencies: websocket-client ^1.6.1 - Tag maintainer: @baskaryan ### SparkLLM chat model usage Get SparkLLM's app_id, api_key and api_secret from [iFlyTek SparkLLM API Console](https://console.xfyun.cn/services/bm3) (for more info, see [iFlyTek SparkLLM Intro](https://xinghuo.xfyun.cn/sparkapi) ), then set environment variables `IFLYTEK_SPARK_APP_ID`, `IFLYTEK_SPARK_API_KEY` and `IFLYTEK_SPARK_API_SECRET` or pass parameters when using it like the demo below: ```python3 from langchain.chat_models.sparkllm import ChatSparkLLM client = ChatSparkLLM( spark_app_id="<app_id>", spark_api_key="<api_key>", spark_api_secret="<api_secret>" ) ```	8 months ago
Shivani Modi	4e160540ff	community[minor]: Adding Konko Completion endpoint (#15570 ) This PR introduces update to Konko Integration with LangChain. 1. New Endpoint Addition: Integration of a new endpoint to utilize completion models hosted on Konko. 2. Chat Model Updates for Backward Compatibility: We have updated the chat models to ensure backward compatibility with previous OpenAI versions. 4. Updated Documentation: Comprehensive documentation has been updated to reflect these new changes, providing clear guidance on utilizing the new features and ensuring seamless integration. Thank you to the LangChain team for their exceptional work and for considering this PR. Please let me know if any additional information is needed. --------- Co-authored-by: Shivani Modi <shivanimodi@Shivanis-MacBook-Pro.local> Co-authored-by: Shivani Modi <shivanimodi@Shivanis-MBP.lan>	8 months ago
Facundo Santiago	92e6a641fd	feat: adding paygo api support for Azure ML / Azure AI Studio (#14560 ) - Description: Introducing support for LLMs and Chat models running in Azure AI studio and Azure ML using the new deployment mode pay-as-you-go (model as a service). - Issue: NA - Dependencies: None. - Tag maintainer: @prakharg-msft @gdyre - Twitter handle: @santiagofacundo Examples added: * [docs/docs/integrations/llms/azure_ml.ipynb](https://github.com/santiagxf/langchain/blob/santiagxf/azureml-endpoints-paygo-community/docs/docs/integrations/chat/azureml_endpoint.ipynb) * [docs/docs/integrations/chat/azureml_chat_endpoint.ipynb](https://github.com/santiagxf/langchain/blob/santiagxf/azureml-endpoints-paygo-community/docs/docs/integrations/chat/azureml_chat_endpoint.ipynb) --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
baichuan-assistant	20fcd49348	community: Fix Baichuan Chat. (#15207 ) - Description: Baichuan Chat (with both Baichuan-Turbo and Baichuan-Turbo-192K models) has updated their APIs. There are breaking changes. For example, BAICHUAN_SECRET_KEY is removed in the latest API but is still required in Langchain. Baichuan's Langchain integration needs to be updated to the latest version. - Issue: #15206 - Dependencies: None, - Twitter handle: None @hwchase17. Co-authored-by: BaiChuanHelper <wintergyc@WinterGYCs-MacBook-Pro.local>	8 months ago
gcheron	cfc225ecb3	community: SQLStrStore/SQLDocStore provide an easy SQL alternative to `InMemoryStore` to persist data remotely in a SQL storage (#15909 ) Description: - Implement `SQLStrStore` and `SQLDocStore` classes that inherits from `BaseStore` to allow to persist data remotely on a SQL server. - SQL is widely used and sometimes we do not want to install a caching solution like Redis. - Multiple issues/comments complain that there is no easy remote and persistent solution that are not in memory (users want to replace InMemoryStore), e.g., https://github.com/langchain-ai/langchain/issues/14267, https://github.com/langchain-ai/langchain/issues/15633, https://github.com/langchain-ai/langchain/issues/14643, https://stackoverflow.com/questions/77385587/persist-parentdocumentretriever-of-langchain - This is particularly painful when wanting to use `ParentDocumentRetriever ` - This implementation is particularly useful when: * it's expensive to construct an InMemoryDocstore/dict * you want to retrieve documents from remote sources * you just want to reuse existing objects - This implementation integrates well with PGVector, indeed, when using PGVector, you already have a SQL instance running. `SQLDocStore` is a convenient way of using this instance to store documents associated to vectors. An integration example with ParentDocumentRetriever and PGVector is provided in docs/docs/integrations/stores/sql.ipynb or [here](https://github.com/gcheron/langchain/blob/sql-store/docs/docs/integrations/stores/sql.ipynb). - It persists `str` and `Document` objects but can be easily extended. Issue: Provide an easy SQL alternative to `InMemoryStore`. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Tomaz Bratanic	d0a8082188	Fix neo4j sanitize (#16439 ) Fix the sanitization bug and add an integration test	8 months ago
Ian	b9f5104e6c	communty[minor]: Store Message History to TiDB Database (#16304 ) This pull request integrates the TiDB database into LangChain for storing message history, marking one of several steps towards a comprehensive integration of TiDB with LangChain. A simple usage ```python from datetime import datetime from langchain_community.chat_message_histories import TiDBChatMessageHistory history = TiDBChatMessageHistory( connection_string="mysql+pymysql://<host>:<PASSWORD>@<host>:4000/<db>?ssl_ca=/etc/ssl/cert.pem&ssl_verify_cert=true&ssl_verify_identity=true", session_id="code_gen", earliest_time=datetime.utcnow(), # Optional to set earliest_time to load messages after this time point. ) history.add_user_message("hi! How's feature going?") history.add_ai_message("It's almot done") ```	8 months ago
Katarina Supe	01c2f27ffa	community[patch]: Update Memgraph support (#16360 ) - Description: I removed two queries to the database and left just one whose results were formatted afterward into other type of schema (avoided two calls to DB) - Issue: / - Dependencies: / - Twitter handle: @supe_katarina	8 months ago
Iskren Ivov Chernev	fc196cab12	community[minor]: DeepInfra support for chat models (#16380 ) Add deepinfra chat models support. This is https://github.com/langchain-ai/langchain/pull/14234 re-opened from my branch (so maintainers can edit).	8 months ago
Max Jakob	de209af533	community[patch]: ElasticsearchStore: add relevance function selector (#16378 ) Implement similarity function selector for ElasticsearchStore. The scores coming back from Elasticsearch are already similarities (not distances) and they are already normalized (see [docs](https://www.elastic.co/guide/en/elasticsearch/reference/current/dense-vector.html#dense-vector-params)). Hence we leave the scores untouched and just forward them. This fixes #11539. However, in hybrid mode (when keyword search and vector search are involved) Elasticsearch currently returns no scores. This PR adds an error message around this fact. We need to think a bit more to come up with a solution for this case. This PR also corrects a small error in the Elasticsearch integration test. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
Luke	5396604ef4	community: Handling missing key in Google Trends API response. (#15864 ) - Description: Handing response where _interest_over_time_ is missing. - Issue: #15859 - Dependencies: None	8 months ago
Christophe Bornet	3ccbe11363	community[minor]: Add Cassandra document loader (#16215 ) - Description: document loader for Apache Cassandra - Twitter handle: cbornet_	8 months ago
Christophe Bornet	3502a407d9	infra: Use dotenv in langchain-community's integration tests (#16137 ) * Removed some env vars not used in langchain package IT * Added Astra DB env vars in langchain package, used for cache tests * Added conftest.py to load env vars in langchain_community IT * Added .env.example in langchain_community IT	8 months ago
Tomaz Bratanic	1e80113ac9	community[patch]: Add neo4j timeout and value sanitization option (#16138 ) The timeout function comes in handy when you want to kill longrunning queries. The value sanitization removes all lists that are larger than 128 elements. The idea here is to remove embedding properties from results.	8 months ago
Virat Singh	eb6e385dc5	community: Add PolygonAPIWrapper and get_last_quote endpoint (#15971 ) - Description: Added a `PolygonAPIWrapper` and an initial `get_last_quote` endpoint, which allows us to get the last price quote for a given `ticker`. Once merged, I can add a Polygon tool in `tools/` for agents to use. - Twitter handle: [@virattt](https://twitter.com/virattt) The Polygon.io Stocks API provides REST endpoints that let you query the latest market data from all US stock exchanges.	9 months ago
Varik Matevosyan	efe6cfafe2	community: Added Lantern as VectorStore (#12951 ) Support [Lantern](https://github.com/lanterndata/lantern) as a new VectorStore type. - Added Lantern as VectorStore. It will support 3 distance functions `l2 squared`, `cosine` and `hamming` and will use `HNSW` index. - Added tests - Added example notebook	9 months ago
Raunak	e26e1f8b37	community: Added functions to make async calls to HuggingFaceHub's embedding endpoint in HuggingFaceHubEmbeddings class (#15737 ) Description: Added aembed_documents() and aembed_query() async functions in HuggingFaceHubEmbeddings class in langchain_community\embeddings\huggingface_hub.py file. It will support to make async calls to HuggingFaceHub's embedding endpoint and generate embeddings asynchronously. Test Cases: Added test_huggingfacehub_embedding_async_documents() and test_huggingfacehub_embedding_async_query() functions in test_huggingface_hub.py file to test the two async functions created in HuggingFaceHubEmbeddings class. Documentation: Updated huggingfacehub.ipynb with steps to install huggingface_hub package and use HuggingFaceHubEmbeddings. Dependencies: None, Twitter handle: I do not have a Twitter account --------- Co-authored-by: H161961 <Raunak.Raunak@Honeywell.com>	9 months ago
Christophe Bornet	81d1ba05dc	Add a BaseStore backed by AstraDB (#15812 ) - Description: this change adds a `BaseStore` backed by AstraDB - Twitter handle: cbornet_	9 months ago
Xin Liu	5efec068c9	feat: Implement `stream` interface (#15875 ) <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes if applicable, - Dependencies: any dependencies required for this change, - 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! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> Major changes: - Rename `wasm_chat.py` to `llama_edge.py` - Rename the `WasmChatService` class to `ChatService` - Implement the `stream` interface for `ChatService` - Add `test_chat_wasm_service_streaming` in the integration test - Update `llama_edge.ipynb` --------- Signed-off-by: Xin Liu <sam@secondstate.io>	9 months ago
NuODaniel	70b6315b23	community[patch]: fix qianfan chat stream calling caused exception (#13800 ) - Description: `QianfanChatEndpoint` extends `BaseChatModel` as a super class, which has a default stream implement might concat the MessageChunk with `__add__`. When call stream(), a ValueError for duplicated key will be raise. - Issues: * #13546 * #13548 * merge two single test file related to qianfan. - Dependencies: no - Tag maintainer: --------- Co-authored-by: root <liujun45@baidu.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	9 months ago
Christophe Bornet	a466f79ac9	Fix AstraDB logical operator filtering (#15699 ) <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes if applicable, - Dependencies: any dependencies required for this change, - 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! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> This change fixes the AstraDB logical operator filtering (`$and,` `$or`). The `metadata` prefix must not be added if the key is `$and` or `$or`.	9 months ago
Erick Friis	ebc75c5ca7	openai[minor]: implement langchain-openai package (#15503 ) Todo - [x] copy over integration tests - [x] update docs with new instructions in #15513 - [x] add linear ticket to bump core -> community, community->langchain, and core->openai deps - [ ] (optional): add `pip install langchain-openai` command to each notebook using it - [x] Update docstrings to not need `openai` install - [x] Add serialization - [x] deprecate old models Contributor steps: - [x] Add secret names to manual integrations workflow in .github/workflows/_integration_test.yml - [x] Add secrets to release workflow (for pre-release testing) in .github/workflows/_release.yml Maintainer steps (Contributors should not do these): - [x] set up pypi and test pypi projects - [x] add credential secrets to Github Actions - [ ] add package to conda-forge Functional changes to existing classes: - now relies on openai client v1 (1.6.1) via concrete dep in langchain-openai package Codebase organization - some function calling stuff moved to `langchain_core.utils.function_calling` in order to be used in both community and langchain-openai	9 months ago
Bagatur	b2f15738dd	core[patch], langchain[patch], community[patch]: Revert #15326 (#15546 )	9 months ago
Bagatur	baeac236b6	langchain[patch], experimental[patch]: update utilities imports (#15438 )	9 months ago
Xin Liu	0a7d360ba4	feat: new integration `wasm_chat` (#14787 ) <!-- Thank you for contributing to LangChain! Replace this entire 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! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> Adds `WasmChat` integration. `WasmChat` runs GGUF models locally or via chat service in lightweight and secure WebAssembly containers. In this PR, `WasmChatService` is introduced as the first step of the integration. `WasmChatService` is driven by [llama-api-server](https://github.com/second-state/llama-utils) and [WasmEdge Runtime](https://wasmedge.org/). --------- Signed-off-by: Xin Liu <sam@secondstate.io>	9 months ago
Ashley Xu	0ce7858529	feat: add Google BigQueryVectorSearch in vectorstore (#14829 ) BigQuery vector search lets you use GoogleSQL to do semantic search, using vector indexes for fast but approximate results, or using brute force for exact results. This PR integrates LangChain vectorstore with BigQuery Vector Search. <!-- Thank you for contributing to LangChain! Replace this entire 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! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Vlad Kolesnikov <vladkol@google.com>	9 months ago

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278 Commits (35ebd2620c56d8a109321d7eb3f7676e20175d69)