270 Commits (f0d5b599623ca2477c97c95a6a5cecb7fc835d07)

Author	SHA1	Message	Date
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`.	3 months ago
Peter Vandenabeele	e830a4e731	community[patch]: Add remove_comments option (default True): do not extract html comments (#13259) ... - **Description:** add `remove_comments` option (default: True): do not extract html _comments_, - **Issue:** None, - **Dependencies:** None, - **Tag maintainer:** @nfcampos , - **Twitter handle:** peter_v I ran `make format`, `make lint` and `make test`. Discussion: I my use case, I prefer to not have the comments in the extracted text: * e.g. from a Google tag that is added in the html as comment * e.g. content that the authors have temporarily hidden to make it non visible to the regular reader Removing the comments makes the extracted text more alike the intended text to be seen by the reader. **Choice to make:** do we prefer to make the default for this `remove_comments` option to be True or False? I have changed it to True in a second commit, since that is how I would prefer to use it by default. Have the cleaned text (without technical Google tags etc.) and also closer to the actually visible and intended content. I am not sure what is best aligned with the conventions of langchain in general ... INITIAL VERSION (new version above): ~**Choice to make:** do we prefer to make the default for this `ignore_comments` option to be True or False? I have set it to False now to be backwards compatible. On the other hand, I would use it mostly with True. I am not sure what is best aligned with the conventions of langchain in general ...~ --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 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>	3 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.	3 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>	3 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>	3 months ago
Kamal Zhang	368e35c3b1	community[patch]: introduce convert_to_secret() to bananadev llm (#14283) ... - **Description:** Per #12165, this PR add to BananaLLM the function convert_to_secret_str() during environment variable validation. - **Issue:** #12165 - **Tag maintainer:** @eyurtsev - **Twitter handle:** @treewatcha75751 --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 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>	3 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>	3 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>	3 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>	3 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>	3 months ago
shahrin014	f51e6a35ba	community[patch]: OllamaEmbeddings - Pass headers to post request (#16880) ... ## Feature - Set additional headers in constructor - Headers will be sent in post request This feature is useful if deploying Ollama on a cloud service such as hugging face, which requires authentication tokens to be passed in the request header. ## Tests - Test if header is passed - Test if header is not passed Similar to https://github.com/langchain-ai/langchain/pull/15881 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Jan Chorowski	b8b42ccbc5	community[minor]: Pathway vectorstore(#14859) ... - **Description:** Integration with pathway.com data processing pipeline acting as an always updated vectorstore - **Issue:** not applicable - **Dependencies:** optional dependency on [`pathway`](https://pypi.org/project/pathway/) - **Twitter handle:** pathway_com The PR provides and integration with `pathway` to provide an easy to use always updated vector store: ```python import pathway as pw from langchain.embeddings.openai import OpenAIEmbeddings from langchain.text_splitter import CharacterTextSplitter from langchain.vectorstores import PathwayVectorClient, PathwayVectorServer data_sources = [] data_sources.append( pw.io.gdrive.read(object_id="17H4YpBOAKQzEJ93xmC2z170l0bP2npMy", service_user_credentials_file="credentials.json", with_metadata=True)) text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0) embeddings_model = OpenAIEmbeddings(openai_api_key=os.environ["OPENAI_API_KEY"]) vector_server = PathwayVectorServer( *data_sources, embedder=embeddings_model, splitter=text_splitter, ) vector_server.run_server(host="127.0.0.1", port="8765", threaded=True, with_cache=False) client = PathwayVectorClient( host="127.0.0.1", port="8765", ) query = "What is Pathway?" docs = client.similarity_search(query) ``` The `PathwayVectorServer` builds a data processing pipeline which continusly scans documents in a given source connector (google drive, s3, ...) and builds a vector store. The `PathwayVectorClient` implements LangChain's `VectorStore` interface and connects to the server to retrieve documents. --------- Co-authored-by: Mateusz Lewandowski <lewymati@users.noreply.github.com> Co-authored-by: mlewandowski <mlewandowski@MacBook-Pro-mlewandowski.local> Co-authored-by: Berke <berkecanrizai1@gmail.com> Co-authored-by: Adrian Kosowski <adrian@pathway.com> Co-authored-by: mlewandowski <mlewandowski@macbook-pro-mlewandowski.home> Co-authored-by: berkecanrizai <63911408+berkecanrizai@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: mlewandowski <mlewandowski@MBPmlewandowski.ht.home> Co-authored-by: Szymon Dudycz <szymond@pathway.com> Co-authored-by: Szymon Dudycz <szymon.dudycz@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
高璟琦	ec7a59c96c	community[minor]: Add solar embedding (#19761) ... Solar is a large language model developed by [Upstage](https://upstage.ai/). It's a powerful and purpose-trained LLM. You can visit the embedding service provided by Solar within this pr. You may get **SOLAR_API_KEY** from https://console.upstage.ai/services/embedding You can refer to more details about accepted llm integration at https://python.langchain.com/docs/integrations/llms/solar.	3 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.	3 months ago
Robby	f7e8a382cc	community[minor]: add hugging face text-to-speech inference API (#18880) ... Description: I implemented a tool to use Hugging Face text-to-speech inference API. Issue: n/a Dependencies: n/a Twitter handle: No Twitter, but do have [LinkedIn](https://www.linkedin.com/in/robby-horvath/) lol. --------- Co-authored-by: Robby <h0rv@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
DasDingoCodes	73eb3f8fd9	community[minor]: Implement DirectoryLoader lazy_load function (#19537) ... Thank you for contributing to LangChain! - [x] **PR title**: "community: Implement DirectoryLoader lazy_load function" - [x] **Description**: The `lazy_load` function of the `DirectoryLoader` yields each document separately. If the given `loader_cls` of the `DirectoryLoader` also implemented `lazy_load`, it will be used to yield subdocuments of the file. - [x] **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: `libs/community/tests/unit_tests/document_loaders/test_directory_loader.py` 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory: `docs/docs/integrations/document_loaders/directory.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: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Jialei	f7c903e24a	community[minor]: add support for Moonshot llm and chat model (#17100)	3 months ago
Ethan Yang	7164015135	community[minor]: Add Openvino embedding support (#19632) ... This PR is used to support both HF and BGE embeddings with openvino --------- Co-authored-by: Alexander Kozlov <alexander.kozlov@intel.com>	3 months ago
kYLe	124ab79c23	community[minor]: Add Anyscale embedding support (#17605) ... **Description:** Add embedding model support for Anyscale Endpoint **Dependencies:** openai --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Paulo Nascimento	44a3484503	community[patch]: add NotebookLoader unit test (#17721) ... Thank you for contributing to LangChain! - **Description:** added unit tests for NotebookLoader. Linked PR: https://github.com/langchain-ai/langchain/pull/17614 - **Issue:** [#17614](https://github.com/langchain-ai/langchain/pull/17614) - **Twitter handle:** @paulodoestech - [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. 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, efriis, eyurtsev, hwchase17. --------- Co-authored-by: lachiewalker <lachiewalker1@hotmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Paulo Nascimento	4c3a67122f	community[patch]: add Integration for OpenAI image gen with v1 sdk (#17771) ... **Description:** Created a Langchain Tool for OpenAI DALLE Image Generation. **Issue:** [#15901](https://github.com/langchain-ai/langchain/issues/15901) **Dependencies:** n/a **Twitter handle:** @paulodoestech - [x] **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. - [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 <baskaryan@gmail.com>	3 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>	3 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>	3 months ago
Victor Adan	afa2d85405	community[patch]: Added missing from_documents method to KNNRetriever. (#18411) ... - Description: Added missing `from_documents` method to `KNNRetriever`, providing the ability to supply metadata to LangChain `Document`s, and to give it parity to the other retrievers, which do have `from_documents`. - Issue: None - Dependencies: None - Twitter handle: None Co-authored-by: Victor Adan <vadan@netroadshow.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
wulixuan	b7c8bc8268	community[patch]: fix yuan2 errors in LLMs (#19004) ... 1. fix yuan2 errors while invoke Yuan2. 2. update tests.	3 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>	3 months ago
Christian Galo	1adaa3c662	community[minor]: Update Azure Cognitive Services to Azure AI Services (#19488) ... This is a follow up to #18371. These are the changes: - New **Azure AI Services** toolkit and tools to replace those of **Azure Cognitive Services**. - Updated documentation for Microsoft platform. - The image analysis tool has been rewritten to use the new package `azure-ai-vision-imageanalysis`, doing a proper replacement of `azure-ai-vision`. These changes: - Update outdated naming from "Azure Cognitive Services" to "Azure AI Services". - Update documentation to use non-deprecated methods to create and use agents. - Removes need to depend on yanked python package (`azure-ai-vision`) There is one new dependency that is needed as a replacement to `azure-ai-vision`: - `azure-ai-vision-imageanalysis`. This is optional and declared within a function. There is a new `azure_ai_services.ipynb` notebook showing usage; Changes have been linted and formatted. I am leaving the actions of adding deprecation notices and future removal of Azure Cognitive Services up to the LangChain team, as I am not sure what the current practice around this is. --- If this PR makes it, my handle is @galo@mastodon.social --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: ccurme <chester.curme@gmail.com>	3 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	3 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>	3 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>	3 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>	3 months ago
yuwenzho	3a7d2cf443	community[minor]: Add ITREX optimized Embeddings (#18474) ... Introduction [Intel® Extension for Transformers](https://github.com/intel/intel-extension-for-transformers) is an innovative toolkit designed to accelerate GenAI/LLM everywhere with the optimal performance of Transformer-based models on various Intel platforms Description adding ITREX runtime embeddings using intel-extension-for-transformers. added mdx documentation and example notebooks added embedding import testing. --------- Signed-off-by: yuwenzho <yuwen.zhou@intel.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Fabrizio Ruocco	f12cb0bea4	community[patch]: Microsoft Azure Document Intelligence updates (#16932) ... - **Description:** Update Azure Document Intelligence implementation by Microsoft team and RAG cookbook with Azure AI Search --------- Co-authored-by: Lu Zhang (AI) <luzhan@microsoft.com> Co-authored-by: Yateng Hong <yatengh@microsoft.com> Co-authored-by: teethache <hongyateng2006@126.com> Co-authored-by: Lu Zhang <44625949+luzhang06@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
xsai9101	160a8eb178	community[minor]: add oracle autonomous database doc loader integration (#19536) ... 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:** Adding oracle autonomous database document loader integration. This will allow users to connect to oracle autonomous database through connection string or TNS configuration. https://www.oracle.com/autonomous-database/ - **Issue:** None - **Dependencies:** oracledb python package https://pypi.org/project/oracledb/ - **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. Unit test and doc are added. - [ ] **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>	3 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>	3 months ago
Yuki Watanabe	cfecbda48b	community[minor]: Allow passing `allow_dangerous_deserialization` when loading LLM chain (#18894) ... ### Issue Recently, the new `allow_dangerous_deserialization` flag was introduced for preventing unsafe model deserialization that relies on pickle without user's notice (#18696). Since then some LLMs like Databricks requires passing in this flag with true to instantiate the model. However, this breaks existing functionality to loading such LLMs within a chain using `load_chain` method, because the underlying loader function [load_llm_from_config](f96dd57501/libs/langchain/langchain/chains/loading.py (L40)) (and load_llm) ignores keyword arguments passed in. ### Solution This PR fixes this issue by propagating the `allow_dangerous_deserialization` argument to the class loader iff the LLM class has that field. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Christophe Bornet	8595c3ab59	community[minor]: Add InMemoryVectorStore to module level imports (#19576)	3 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.	3 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>	3 months ago
Dmitry Tyumentsev	08b769d539	community[patch]: YandexGPT Use recent yandexcloud sdk version (#19341) ... Fixed inability to work with [yandexcloud SDK](https://pypi.org/project/yandexcloud/) version higher 0.265.0	3 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>	3 months ago
Mikelarg	dac2e0165a	community[minor]: Added GigaChat Embeddings support + updated previous GigaChat integration (#19516) ... - **Description:** Added integration with [GigaChat](https://developers.sber.ru/portal/products/gigachat) embeddings. Also added support for extra fields in GigaChat LLM and fixed docs.	3 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	3 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.	3 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>	3 months ago
Christophe Bornet	00614f332a	community[minor]: Add InMemoryVectorStore (#19326) ... This is a basic VectorStore implementation using an in-memory dict to store the documents. It doesn't need any extra/optional dependency as it uses numpy which is already a dependency of langchain. This is useful for quick testing, demos, examples. Also it allows to write vendor-neutral tutorials, guides, etc...	4 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>	4 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.	4 months ago