434 Commits (9b3a025f9c806a6f8a00030c7058c689536ae5a0)

Author	SHA1	Message	Date
Michał Krassowski	710197e18c	community[patch]: restore compatibility with SQLAlchemy 1.x (#22546) ... - **Description:** Restores compatibility with SQLAlchemy 1.4.x that was broken since #18992 and adds a test run for this version on CI (only for Python 3.11) - **Issue:** fixes #19681 - **Dependencies:** None - **Twitter handle:** `@krassowski_m` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
ccurme	ca798bc6ea	community: move test to integration tests (#23178) ... Tests failing on master with > FAILED tests/unit_tests/embeddings/test_ovhcloud.py::test_ovhcloud_embed_documents - ValueError: Request failed with status code: 401, {"message":"Bad token; invalid JSON"}	3 months ago
Finlay Macklon	616d06d7fe	community: glob multiple patterns when using DirectoryLoader (#22852) ... - **Description:** Updated *community.langchain_community.document_loaders.directory.py* to enable the use of multiple glob patterns in the `DirectoryLoader` class. Now, the glob parameter is of type `list[str] | str` and still defaults to the same value as before. I updated the docstring of the class to reflect this, and added a unit test to *community.tests.unit_tests.document_loaders.test_directory.py* named `test_directory_loader_glob_multiple`. This test also shows an example of how to use the new functionality. - ~~Issue:~~**Discussion Thread:** https://github.com/langchain-ai/langchain/discussions/18559 - **Dependencies:** None - **Twitter handle:** N/a - [x] **Add tests and docs** - Added test (described above) - Updated class docstring - [x] **Lint and test** --------- Co-authored-by: isaac hershenson <ihershenson@hmc.edu> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com>	3 months ago
Raghav Dixit	55705c0f5e	LanceDB integration update (#22869) ... Added : - [x] relevance search (w/wo scores) - [x] maximal marginal search - [x] image ingestion - [x] filtering support - [x] hybrid search w reranking make test, lint_diff and format checked.	3 months ago
Chang Liu	62c8a67f56	community: add KafkaChatMessageHistory (#22216) ... Add chat history store based on Kafka. Files added: `libs/community/langchain_community/chat_message_histories/kafka.py` `docs/docs/integrations/memory/kafka_chat_message_history.ipynb` New issue to be created for future improvement: 1. Async method implementation. 2. Message retrieval based on timestamp. 3. Support for other configs when connecting to cloud hosted Kafka (e.g. add `api_key` field) 4. Improve unit testing & integration testing.	3 months ago
Oguz Vuruskaner	dd25d08c06	community[minor]: add tool calling for DeepInfraChat (#22745) ... DeepInfra now supports tool calling for supported models. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
maang-h	c6b7db6587	community: Add Baichuan Embeddings batch size (#22942) ... - **Support batch size** Baichuan updates the document, indicating that up to 16 documents can be imported at a time - **Standardized model init arg names** - baichuan_api_key -> api_key - model_name -> model	3 months ago
Shubham Pandey	56ac94e014	community[minor]: add `ChatSnowflakeCortex` chat model (#21490) ... **Description:** This PR adds a chat model integration for [Snowflake Cortex](https://docs.snowflake.com/en/user-guide/snowflake-cortex/llm-functions), which gives an instant access to industry-leading large language models (LLMs) trained by researchers at companies like Mistral, Reka, Meta, and Google, including [Snowflake Arctic](https://www.snowflake.com/en/data-cloud/arctic/), an open enterprise-grade model developed by Snowflake. **Dependencies:** Snowflake's [snowpark](https://pypi.org/project/snowflake-snowpark-python/) library is required for using this integration. **Twitter handle:** [@gethouseware](https://twitter.com/gethouseware) - [x] **Add tests and docs**: 1. integration tests: `libs/community/tests/integration_tests/chat_models/test_snowflake.py` 2. unit tests: `libs/community/tests/unit_tests/chat_models/test_snowflake.py` 3. example notebook: `docs/docs/integrations/chat/snowflake.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/	3 months ago
Bitmonkey	570d45b2a1	Update ollama.py with optional raw setting. (#21486) ... Ollama has a raw option now. https://github.com/ollama/ollama/blob/main/docs/api.md Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	3 months ago
Eugene Yurtsev	c72bcda4f2	community[major], experimental[patch]: Remove Python REPL from community (#22904) ... Remove the REPL from community, and suggest an alternative import from langchain_experimental. Fix for this issue: https://github.com/langchain-ai/langchain/issues/14345 This is not a bug in the code or an actual security risk. The python REPL itself is behaving as expected. The PR is done to appease blanket security policies that are just looking for the presence of exec in the code. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Thanh Nguyen	b5e2ba3a47	community[minor]: add chat model llamacpp (#22589) ... - **PR title**: [community] add chat model llamacpp - **PR message**: - **Description:** This PR introduces a new chat model integration with llamacpp_python, designed to work similarly to the existing ChatOpenAI model. + Work well with instructed chat, chain and function/tool calling. + Work with LangGraph (persistent memory, tool calling), will update soon - **Dependencies:** This change requires the llamacpp_python library to be installed. @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
maang-h	1055b9a309	community[minor]: Implement ZhipuAIEmbeddings interface (#22821) ... - **Description:** Implement ZhipuAIEmbeddings interface, include: - The `embed_query` method - The `embed_documents` method refer to [ZhipuAI Embedding-2](https://open.bigmodel.cn/dev/api#text_embedding) --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	3 months ago
Christophe Bornet	d04e899b56	ci: add testing with Python 3.12 (#22813) ... We need to use a different version of numpy for py3.8 and py3.12 in pyproject. And so do projects that use that Python version range and import langchain. - **Twitter handle:** _cbornet	3 months ago
Philippe PRADOS	23c22fcbc9	langchain[minor]: Make EmbeddingsFilters async (#22737) ... Add native async implementation for EmbeddingsFilter	3 months ago
Mr. Lance E Sloan «UMich»	84dc2dd059	community[patch]: Load YouTube transcripts (captions) as fixed-duration chunks with start times (#21710) ... - **Description:** Add a new format, `CHUNKS`, to `langchain_community.document_loaders.youtube.YoutubeLoader` which creates multiple `Document` objects from YouTube video transcripts (captions), each of a fixed duration. The metadata of each chunk `Document` includes the start time of each one and a URL to that time in the video on the YouTube website. I had implemented this for UMich (@umich-its-ai) in a local module, but it makes sense to contribute this to LangChain community for all to benefit and to simplify maintenance. - **Issue:** N/A - **Dependencies:** N/A - **Twitter:** lsloan_umich - **Mastodon:** [lsloan@mastodon.social](https://mastodon.social/@lsloan) With regards to **tests and documentation**, most existing features of the `YoutubeLoader` class are not tested. Only the `YoutubeLoader.extract_video_id()` static method had a test. However, while I was waiting for this PR to be reviewed and merged, I had time to add a test for the chunking feature I've proposed in this PR. I have added an example of using chunking to the `docs/docs/integrations/document_loaders/youtube_transcript.ipynb` notebook. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Aayush Kataria	71811e0547	community[minor]: Adds a vector store for Azure Cosmos DB for NoSQL (#21676) ... This PR add supports for Azure Cosmos DB for NoSQL vector store. Summary: Description: added vector store integration for Azure Cosmos DB for NoSQL Vector Store, Dependencies: azure-cosmos dependency, Tag maintainer: @hwchase17, @baskaryan @efriis @eyurtsev --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
am-kinetica	ad101adec8	community[patch]: Kinetica Integrations handled error in querying; quotes in table names; updated gpudb API (#22724) ... - [ ] **Miscellaneous updates and fixes**: - **Description:** Handled error in querying; quotes in table names; updated gpudb API - **Issue:** Threw an error with an error message difficult to understand if a query failed or returned no records - **Dependencies:** Updated GPUDB API version to `7.2.0.9` @baskaryan @hwchase17	3 months ago
Mathis Joffre	ea43f40daf	community[minor]: Add support for OVHcloud AI Endpoints Embedding (#22667) ... **Description:** Add support for [OVHcloud AI Endpoints](https://endpoints.ai.cloud.ovh.net/) Embedding models. Inspired by: https://gist.github.com/gmasse/e1f99339e161f4830df6be5d0095349a Signed-off-by: Joffref <mariusjoffre@gmail.com>	3 months ago
Eugene Yurtsev	05d31a2f00	community[patch]: Add missing type annotations (#22758) ... Add missing type annotations to objects in community. These missing type annotations will raise type errors in pydantic 2.	3 months ago
Tomaz Bratanic	76a193decc	community[patch]: Add function response to graph cypher qa chain (#22690) ... LLMs struggle with Graph RAG, because it's different from vector RAG in a way that you don't provide the whole context, only the answer and the LLM has to believe. However, that doesn't really work a lot of the time. However, if you wrap the context as function response the accuracy is much better. btw... `union[LLMChain, Runnable]` is linting fun, that's why so many ignores	3 months ago
X-HAN	34edfe4a16	community[minor]: add Volcengine Rerank (#22700) ... **Description:** this PR adds Volcengine Rerank capability to Langchain, you can find Volcengine Rerank API from [here](https://www.volcengine.com/docs/84313/1254474) & [here](https://www.volcengine.com/docs/84313/1254605). [Volcengine](https://www.volcengine.com/) is a cloud service platform developed by ByteDance, the parent company of TikTok. You can obtain Volcengine API AK/SK from [here](https://www.volcengine.com/docs/84313/1254553). **Dependencies:** VolcengineRerank depends on `volcengine` python package. **Twitter handle:** my twitter/x account is https://x.com/LastMonopoly and I'd like a mention, thank you! **Tests and docs** 1. integration test: `test_volcengine_rerank.py` 2. example notebook: `volcengine_rerank.ipynb` **Lint and test**: I have run `make format`, `make lint` and `make test` from the root of the package I've modified.	3 months ago
Max Mulatz	058a64c563	Community[minor]: Add language parser for Elixir (#22742) ... Hi 👋 First off, thanks a ton for your work on this 💚 Really appreciate what you're providing here for the community. ## Description This PR adds a basic language parser for the [Elixir](https://elixir-lang.org/) programming language. The parser code is based upon the approach outlined in https://github.com/langchain-ai/langchain/pull/13318: it's using `tree-sitter` under the hood and aligns with all the other `tree-sitter` based parses added that PR. The `CHUNK_QUERY` I'm using here is probably not the most sophisticated one, but it worked for my application. It's a starting point to provide "core" parsing support for Elixir in LangChain. It enables people to use the language parser out in real world applications which may then lead to further tweaking of the queries. I consider this PR just the ground work. - **Dependencies:** requires `tree-sitter` and `tree-sitter-languages` from the extended dependencies - **Twitter handle:**`@bitcrowd` ## Checklist - [x] **PR title**: "package: description" - [x] **Add tests and docs** - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. <!-- If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. -->	3 months ago
Philippe PRADOS	9aabb446c5	community[minor]: Add SQL storage implementation (#22207) ... Hello @eyurtsev - package: langchain-comminity - **Description**: Add SQL implementation for docstore. A new implementation, in line with my other PR ([async PGVector](https://github.com/langchain-ai/langchain-postgres/pull/32), [SQLChatMessageMemory](https://github.com/langchain-ai/langchain/pull/22065)) - Twitter handler: pprados --------- Signed-off-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Piotr Mardziel <piotrm@gmail.com> Co-authored-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	4 months ago
Cahid Arda Öz	6c07eb0c12	community[minor]: Add UpstashRatelimitHandler (#21885) ... Adding `UpstashRatelimitHandler` callback for rate limiting based on number of chain invocations or LLM token usage. For more details, see [upstash/ratelimit-py repository](https://github.com/upstash/ratelimit-py) or the notebook guide included in this PR. Twitter handle: @cahidarda --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	4 months ago
Erick Friis	a24a9c6427	multiple: get rid of pyproject extras (#22581) ... They cause `poetry lock` to take a ton of time, and `uv pip install` can resolve the constraints from these toml files in trivial time (addressing problem with #19153) This allows us to properly upgrade lockfile dependencies moving forward, which revealed some issues that were either fixed or type-ignored (see file comments)	4 months ago
Isaac Francisco	ba3e219d83	community[patch]: recursive url loader fix and unit tests (#22521) ... Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
X-HAN	62f13f95e4	community[minor]: add DashScope Rerank (#22403) ... **Description:** this PR adds DashScope Rerank capability to Langchain, you can find DashScope Rerank API from [here](https://help.aliyun.com/document_detail/2780058.html?spm=a2c4g.2780059.0.0.6d995024FlrJ12) & [here](https://help.aliyun.com/document_detail/2780059.html?spm=a2c4g.2780058.0.0.63f75024cr11N9). [DashScope](https://dashscope.aliyun.com/) is the generative AI service from Alibaba Cloud (Aliyun). You can create DashScope API key from [here](https://bailian.console.aliyun.com/?apiKey=1#/api-key). **Dependencies:** DashScopeRerank depends on `dashscope` python package. **Twitter handle:** my twitter/x account is https://x.com/LastMonopoly and I'd like a mention, thanks you! **Tests and docs** 1. integration test: `test_dashscope_rerank.py` 2. example notebook: `dashscope_rerank.ipynb` **Lint and test**: I have run `make format`, `make lint` and `make test` from the root of the package I've modified. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 months ago
leila-messallem	3280a5b49b	community[patch]: improve test setup to accurately test filtering of labels in neo4j (#22531) ... **Description:** This PR addresses an issue with an existing test that was not effectively testing the intended functionality. The previous test setup did not adequately validate the filtering of the labels in neo4j, because the nodes and relationship in the test data did not have any properties set. Without properties these labels would not have been returned, regardless of the filtering. --------- Co-authored-by: Oskar Hane <oh@oskarhane.com>	4 months ago
Stefano Lottini	328d0c99f2	community[minor]: Add support for metadata indexing policy in Cassandra vector store (#22548) ... This PR adds a constructor `metadata_indexing` parameter to the Cassandra vector store to allow optional fine-tuning of which fields of the metadata are to be indexed. This is a feature supported by the underlying CassIO library. Indexing mode of "all", "none" or deny- and allow-list based choices are available. The rationale is, in some cases it's advisable to programmatically exclude some portions of the metadata from the index if one knows in advance they won't ever be used at search-time. this keeps the index more lightweight and performant and avoids limitations on the length of _indexed_ strings. I added a integration test of the feature. I also added the possibility of running the integration test with Cassandra on an arbitrary IP address (e.g. Dockerized), via `CASSANDRA_CONTACT_POINTS=10.1.1.5,10.1.1.6 poetry run pytest [...]` or similar. While I was at it, I added a line to the `.gitignore` since the mypy _test_ cache was not ignored yet. My X (Twitter) handle: @rsprrs.	4 months ago
Philippe PRADOS	8250c177de	community[minor]: Add native async support to SQLChatMessageHistory (#22065) ... # package community: Fix SQLChatMessageHistory ## Description Here is a rewrite of `SQLChatMessageHistory` to properly implement the asynchronous approach. The code circumvents [issue 22021](https://github.com/langchain-ai/langchain/issues/22021) by accepting a synchronous call to `def add_messages()` in an asynchronous scenario. This bypasses the bug. For the same reasons as in [PR 22](https://github.com/langchain-ai/langchain-postgres/pull/32) of `langchain-postgres`, we use a lazy strategy for table creation. Indeed, the promise of the constructor cannot be fulfilled without this. It is not possible to invoke a synchronous call in a constructor. We compensate for this by waiting for the next asynchronous method call to create the table. The goal of the `PostgresChatMessageHistory` class (in `langchain-postgres`) is, among other things, to be able to recycle database connections. The implementation of the class is problematic, as we have demonstrated in [issue 22021](https://github.com/langchain-ai/langchain/issues/22021). Our new implementation of `SQLChatMessageHistory` achieves this by using a singleton of type (`Async`)`Engine` for the database connection. The connection pool is managed by this singleton, and the code is then reentrant. We also accept the type `str` (optionally complemented by `async_mode`. I know you don't like this much, but it's the only way to allow an asynchronous connection string). In order to unify the different classes handling database connections, we have renamed `connection_string` to `connection`, and `Session` to `session_maker`. Now, a single transaction is used to add a list of messages. Thus, a crash during this write operation will not leave the database in an unstable state with a partially added message list. This makes the code resilient. We believe that the `PostgresChatMessageHistory` class is no longer necessary and can be replaced by: ``` PostgresChatMessageHistory = SQLChatMessageHistory ``` This also fixes the bug. ## Issue - [issue 22021](https://github.com/langchain-ai/langchain/issues/22021) - Bug in _exit_history() - Bugs in PostgresChatMessageHistory and sync usage - Bugs in PostgresChatMessageHistory and async usage - [issue 36](https://github.com/langchain-ai/langchain-postgres/issues/36) ## Twitter handle: pprados ## Tests - libs/community/tests/unit_tests/chat_message_histories/test_sql.py (add async test) @baskaryan, @eyurtsev or @hwchase17 can you check this PR ? And, I've been waiting a long time for validation from other PRs. Can you take a look? - [PR 32](https://github.com/langchain-ai/langchain-postgres/pull/32) - [PR 15575](https://github.com/langchain-ai/langchain/pull/15575) - [PR 13200](https://github.com/langchain-ai/langchain/pull/13200) --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	4 months ago
Vincent Min	59bef31997	community[minor]: Improve InMemoryVectorStore with ability to persist to disk and filter on metadata. (#22186) ... - **Description:** The InMemoryVectorStore is a nice and simple vector store implementation for quick development and debugging. The current implementation is quite limited in its functionalities. This PR extends the functionalities by adding utility function to persist the vector store to a json file and to load it from a json file. We choose the json file format because it allows inspection of the database contents in a text editor, which is great for debugging. Furthermore, it adds a `filter` keyword that can be used to filter out documents on their `page_content` or `metadata`. - **Issue:** - - **Dependencies:** - - **Twitter handle:** @Vincent_Min	4 months ago
Ofer Mendelevitch	ad502e8d50	community[minor]: Vectara Integration Update - Streaming, FCS, Chat, updates to documentation and example notebooks (#21334) ... Thank you for contributing to LangChain! **Description:** update to the Vectara / Langchain integration to integrate new Vectara capabilities: - Full RAG implemented as a Runnable with as_rag() - Vectara chat supported with as_chat() - Both support streaming response - Updated documentation and example notebook to reflect all the changes - Updated Vectara templates **Twitter handle:** ofermend **Add tests and docs**: no new tests or docs, but updated both existing tests and existing docs	4 months ago
Joydeep Banik Roy	3796672c67	community, milvus, pinecone, qdrant, mongo: Broadcast operation failure while using simsimd beyond v3.7.7 (#22271) ... - [ ] **Packages affected**: - community: fix `cosine_similarity` to support simsimd beyond 3.7.7 - partners/milvus: fix `cosine_similarity` to support simsimd beyond 3.7.7 - partners/mongodb: fix `cosine_similarity` to support simsimd beyond 3.7.7 - partners/pinecone: fix `cosine_similarity` to support simsimd beyond 3.7.7 - partners/qdrant: fix `cosine_similarity` to support simsimd beyond 3.7.7 - [ ] **Broadcast operation failure while using simsimd beyond v3.7.7**: - **Description:** I was using simsimd 4.3.1 and the unsupported operand type issue popped up. When I checked out the repo and ran the tests, they failed as well (have attached a screenshot for that). Looks like it is a variant of https://github.com/langchain-ai/langchain/issues/18022 . Prior to 3.7.7, simd.cdist returned an ndarray but now it returns simsimd.DistancesTensor which is ineligible for a broadcast operation with numpy. With this change, it also remove the need to explicitly cast `Z` to numpy array - **Issue:** #19905 - **Dependencies:** No - **Twitter handle:** https://x.com/GetzJoydeep <img width="1622" alt="Screenshot 2024-05-29 at 2 50 00 PM" src="https://github.com/langchain-ai/langchain/assets/31132555/fb27b383-a9ae-4a6f-b355-6d503b72db56"> - [ ] **Considerations**: 1. I started with community but since similar changes were there in Milvus, MongoDB, Pinecone, and QDrant so I modified their files as well. If touching multiple packages in one PR is not the norm, then I can remove them from this PR and raise separate ones 2. I have run and verified that the tests work. Since, only MongoDB had tests, I ran theirs and verified it works as well. Screenshots attached : <img width="1573" alt="Screenshot 2024-05-29 at 2 52 13 PM" src="https://github.com/langchain-ai/langchain/assets/31132555/ce87d1ea-19b6-4900-9384-61fbc1a30de9"> <img width="1614" alt="Screenshot 2024-05-29 at 3 33 51 PM" src="https://github.com/langchain-ai/langchain/assets/31132555/6ce1d679-db4c-4291-8453-01028ab2dca5"> I have added a test for simsimd. I feel it may not go well with the CI/CD setup as installing simsimd is not a dependency requirement. I have just imported simsimd to ensure simsimd cosine similarity is invoked. However, its not a good approach. Suggestions are welcome and I can make the required changes on the PR. Please provide guidance on the same as I am new to the community. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 months ago
KyrianC	03178ee74f	community[minor]: Add tools calls to `ChatEdenAI` (#22320) ... ### Description Add tools implementation to `ChatEdenAI`: - `bind_tools()` - `with_structured_output()` ### Documentation Updated `docs/docs/integrations/chat/edenai.ipynb` ### Notes We don´t support stream with tools as of yet. If stream is called with tools we directly yield the whole message from `generate` (implemented the same way as Anthropic did).	4 months ago
Rahul Triptahi	77ad857934	community[minor]: Enable retrieval api calls in PebbloRetrievalQA (#21958) ... Description: Enable app discovery and Prompt/Response apis in PebbloSafeRetrieval Documentation: NA Unit test: N/A --------- Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>	4 months ago
ccurme	afe89a1411	community: add standard chat model params to Ollama (#22446)	4 months ago
maang-h	13140dc4ff	community[patch]: Update the default api_url and reqeust_body of sparkllm embedding (#22136) ... - **Description:** When I was running the SparkLLMTextEmbeddings, app_id, api_key and api_secret are all correct, but it cannot run normally using the current URL. ```python # example from langchain_community.embeddings import SparkLLMTextEmbeddings embedding= SparkLLMTextEmbeddings( spark_app_id="my-app-id", spark_api_key="my-api-key", spark_api_secret="my-api-secret" ) embedding= "hello" print(spark.embed_query(text1)) ```  So I updated the url and request body parameters according to [Embedding_api](https://www.xfyun.cn/doc/spark/Embedding_api.html), now it is runnable.	4 months ago
Yuwen Hu	ba0dca46d7	community[minor]: Add IPEX-LLM BGE embedding support on both Intel CPU and GPU (#22226) ... **Description:** [IPEX-LLM](https://github.com/intel-analytics/ipex-llm) is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max) with very low latency. This PR adds ipex-llm integrations to langchain for BGE embedding support on both Intel CPU and GPU. **Dependencies:** `ipex-llm`, `sentence-transformers` **Contribution maintainer**: @Oscilloscope98 **tests and docs**: - langchain/docs/docs/integrations/text_embedding/ipex_llm.ipynb - langchain/docs/docs/integrations/text_embedding/ipex_llm_gpu.ipynb - langchain/libs/community/tests/integration_tests/embeddings/test_ipex_llm.py --------- Co-authored-by: Shengsheng Huang <shannie.huang@gmail.com>	4 months ago
maang-h	596c062cba	community[patch]: Standardize qianfan model init args name (#22322) ... - **Description:** - Standardize qianfan chat model intialization arguments name - qianfan_ak (qianfan api key) -> api_key - qianfan_sk (qianfan secret key) -> secret_key - Delete unuse variable - **Issue:** #20085	4 months ago
Pavlo Paliychuk	342df7cf83	community[minor]: Add Zep Cloud components + docs + examples (#21671) ... Thank you for contributing to LangChain! - [x] **PR title**: community: Add Zep Cloud components + docs + examples - [x] **PR message**: We have recently released our new zep-cloud sdks that are compatible with Zep Cloud (not Zep Open Source). We have also maintained our Cloud version of langchain components (ChatMessageHistory, VectorStore) as part of our sdks. This PRs goal is to port these components to langchain community repo, and close the gap with the existing Zep Open Source components already present in community repo (added ZepCloudMemory,ZepCloudVectorStore,ZepCloudRetriever). Also added a ZepCloudChatMessageHistory components together with an expression language example ported from our repo. We have left the original open source components intact on purpose as to not introduce any breaking changes. - **Issue:** - - **Dependencies:** Added optional dependency of our new cloud sdk `zep-cloud` - **Twitter handle:** @paulpaliychuk51 - [x] **Add tests and docs** - [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.	4 months ago
Jirka Lhotka	7c0459faf2	community: Update costs of openai finetuned models (#22124) ... - **Description:** Update costs of finetuned models and add gpt-3-turbo-0125. Source: https://openai.com/api/pricing/ - **Issue:** N/A - **Dependencies:** None	4 months ago
Christophe Bornet	c838de5027	doc: Add doc for CassandraByteStore (#22126) ... Preview: https://langchain-git-fork-cbornet-doc-cassandrabytestore-langchain.vercel.app/v0.2/docs/integrations/stores/cassandra/	4 months ago
Eugene Yurtsev	2d693c484e	docs: fix some spelling mistakes caught by newest version of code spell (#22090) ... Going to merge this even though it doesn't pass all tests, and open a separate PR for the remaining spelling mistakes.	4 months ago
Pavel Zloi	fe26f937e4	community[minor]: ManticoreSearch engine added to vectorstore (#19117) ... **Description:** ManticoreSearch engine added to vectorstores **Issue:** no issue, just a new feature **Dependencies:** https://pypi.org/project/manticoresearch-dev/ **Twitter handle:** @EvilFreelancer - Example notebook with test integration: https://github.com/EvilFreelancer/langchain/blob/manticore-search-vectorstore/docs/docs/integrations/vectorstores/manticore_search.ipynb --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Chester Curme <chester.curme@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Philippe PRADOS	6dd621d636	community[minor]: Add CloudBlobLoader that supports loading data from cloud buckets (#21957) ... Thank you for contributing to LangChain! - [ ] **PR title**: "Add CloudBlobLoader" - community: Add CloudBlobLoader - [ ] **PR message**: Add cloud blob loader - **Description:** Langchain provides several approaches to read different file formats: Specific loaders (`CVSLoader`) or blob-compatible loaders (`FileSystemBlobLoader`). The only implementation proposed for BlobLoader is `FileSystemBlobLoader`. Many projects retrieve files from cloud storage. We propose a new implementation of `BlobLoader` to read files from the three cloud storage systems. The interface is strictly identical to `FileSystemBlobLoader`. The only difference is the constructor, which takes a cloud "url" object such as `s3://my-bucket`, `az://my-bucket`, or `gs://my-bucket`. By streamlining the process, this novel implementation eliminates the requirement to pre-download files from cloud storage to local temporary files (which are seldom removed). The code relies on the [CloudPathLib](https://cloudpathlib.drivendata.org/stable/) library to interpret cloud URLs. This has been added as an optional dependency. ```Python loader = CloudBlobLoader("s3://mybucket/id") for blob in loader.yield_blobs(): print(blob) ``` - [X] **Dependencies:** CloudPathLib - [X] **Twitter handle:** pprados - [X] **Add tests and docs**: Add unit test, but it's easy to convert to integration test, with some files in a cloud storage (see `test_cloud_blob_loader.py`) - [X] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. Hello from Paris @hwchase17. Can you review this PR? --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	4 months ago
Christophe Bornet	74947ec894	community[minor]: Add Cassandra ByteStore (#22064)	4 months ago
Christophe Bornet	fea6b99b16	community[minor]: Add async methods to CassandraChatMessageHistory (#21975)	4 months ago
Bruno Alvisio	5eabe90494	community[patch]: Adding HEADER to the list of supported locations (#21946) ... **Description:** adds headers to the list of supported locations when generating the openai function schema	4 months ago
Bagatur	50186da0a1	infra: rm unused # noqa violations (#22049) ... Updating #21137	4 months ago
acho98	45ed5f3f51	community[minor]: Add Clova Embeddings for LangChain Community (#21890) ... - [ ] **PR title**: "Add Naver ClovaX embedding to LangChain community" - HyperClovaX is a large language model developed by [Naver](https://clova-x.naver.com/welcome). It's a powerful and purpose-trained LLM. - You can visit the embedding service provided by [ClovaX](https://www.ncloud.com/product/aiService/clovaStudio) - You may get CLOVA_EMB_API_KEY, CLOVA_EMB_APIGW_API_KEY, CLOVA_EMB_APP_ID From https://www.ncloud.com/product/aiService/clovaStudio --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago