langchain

Commit Graph

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
Artem Mukhin	e271f75bee	docs: Fix URL formatting in deprecation warnings (#23075 ) Description Updated the URLs in deprecation warning messages. The URLs were previously written as raw strings and are now formatted to be clickable HTML links. Example of a broken link in the current API Reference: https://api.python.langchain.com/en/latest/chains/langchain.chains.openai_functions.extraction.create_extraction_chain_pydantic.html <img width="942" alt="Screenshot 2024-06-18 at 13 21 07" src="https://github.com/langchain-ai/langchain/assets/4854600/a1b1863c-cd03-4af2-a9bc-70375407fb00">	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
Mohammad Mohtashim	bf839676c7	[Community]: FIxed the DocumentDBVectorSearch `_similarity_search_without_score` (#22970 ) - Description: The PR #22777 introduced a bug in `_similarity_search_without_score` which was raising the `OperationFailure` error. The mistake was syntax error for MongoDB pipeline which has been corrected now. - Issue: #22770	3 months ago
caiyueliang	9944ad7f5f	community: 'Solve the issue where the _search function in ElasticsearchStore supports passing a query_vector parameter, but the parameter does not take effect. (#21532 ) Issue: When using the similarity_search_with_score function in ElasticsearchStore, I expected to pass in the query_vector that I have already obtained. I noticed that the _search function does support the query_vector parameter, but it seems to be ineffective. I am attempting to resolve this issue. Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com>	3 months ago
Eugene Yurtsev	8f7cc73817	ci: Add script to check for pickle usage in community (#22863 ) Add script to check for pickle usage in community.	3 months ago
Eugene Yurtsev	77209f315e	community[patch]: FAISS VectorStore deserializer should be opt-in (#22861 ) FAISS deserializer uses pickle module. Users have to opt-in to de-serialize.	3 months ago
Rohan Aggarwal	86e8224cf1	community[patch]: Support for old clients (Thin and Thick) Oracle Vector Store (#22766 ) Thank you for contributing to LangChain! - [ ] PR title: "package: description" Support for old clients (Thin and Thick) Oracle Vector Store - [ ] PR message: *Delete this entire checklist* and replace with Support for old clients (Thin and Thick) Oracle Vector Store - [ ] Add tests and docs: If you're adding a new integration, please include Have our own local tests --------- Co-authored-by: rohan.aggarwal@oracle.com <rohaagga@phoenix95642.dev3sub2phx.databasede3phx.oraclevcn.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
Mohammad Mohtashim	36cad5d25c	[Community]: Added Metadata filter support for DocumentDB Vector Store (#22777 ) - Description: As pointed out in this issue #22770, DocumentDB `similarity_search` does not support filtering through metadata which this PR adds by passing in the parameter `filter`. Also this PR fixes a minor Documentation error. - Issue: #22770 --------- Co-authored-by: Erick Friis <erickfriis@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	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
Nithish Raghunandanan	f2f0e0e13d	couchbase: Add the initial version of Couchbase partner package (#22087 ) Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	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
lucasiscovici	05bf98b2f9	community[patch]: pgvector replace nin_ by not_in (#22619 ) - [ ] community: "pgvector: replace nin_ by not_in" - [ ] PR message: nin_ do not exist in sqlalchemy orm, it's not_in	4 months ago
Bagatur	584a1e30ac	community[patch]: AzureSearch async functions (#22075 )	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
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
Anthony Bernabeu	4e676a63b8	community[minor]: Added filter search for LanceDB (#22461 ) - [ ] community: "vectorstore: added filtering support for LanceDB vector store" - [ ] This PR adds filtering capabilities to LanceDB: - Description: In LanceDB filtering can be applied when searching for data into the vectorstore. It is using the SQL language as mentioned in the LanceDB documentation. - Issue: #18235 - Dependencies: No - [ ] 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/	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
Christophe Bornet	9a8fe58ebe	community[minor]: Improve Cassandra VectorStore as_retriever (#22465 ) The Vectorstore's API `as_retriever` doesn't expose explicitly the parameters `search_type` and `search_kwargs` and so these are not well documented. This PR improves `as_retriever` for the Cassandra VectorStore by making these parameters explicit. NB: An alternative would have been to modify `as_retriever` in `Vectorstore`. But there's probably a good reason these were not exposed in the first place ? Is it because implementations may decide to not support them and have fixed values when creating the VectorStoreRetriever ?	4 months ago
Fahreddin Özcan	0061ded002	community[patch]: Upstash Vector Store Namespace Support (#22251 ) This PR introduces namespace support for Upstash Vector Store, which would allow users to partition their data in the vector index. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 months ago
Dan	86509161b0	community: fix AzureSearch delete documents (#22315 ) Description Fix AzureSearch delete documents method by using FIELDS_ID variable instead of the hard coded "id" value Issue: This is linked to this issue: https://github.com/langchain-ai/langchain/issues/22314 Co-authored-by: dseban <dan.seban@neoxia.com>	4 months ago
WU LIFU	86698b02a9	doc: fix wrong documentation on FAISS load_local function (#22310 ) ### Issue: #22299 ### descriptions The documentation appears to be wrong. When the user actually sets this parameter "asynchronous" to be True, it fails because the __init__ function of FAISS class doesn't allow this parameter. In fact, most of the class/instance functions of this class have both the sync/async version, so it looks like what we need is just to remove this parameter from the doc. Thank you for contributing to LangChain! - [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: 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, ccurme, vbarda, hwchase17. Co-authored-by: Lifu Wu <lifu@nextbillion.ai>	4 months ago
ChengZi	404d92ded0	milvus: New langchain_milvus package and new milvus features (#21077 ) New features: - New langchain_milvus package in partner - Milvus collection hybrid search retriever - Zilliz cloud pipeline retriever - Milvus Local guid - Rag-milvus template --------- Signed-off-by: ChengZi <chen.zhang@zilliz.com> Signed-off-by: Jael Gu <mengjia.gu@zilliz.com> Co-authored-by: Jael Gu <mengjia.gu@zilliz.com> Co-authored-by: Jackson <jacksonxie612@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Erick Friis <erickfriis@gmail.com>	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
Jan Soubusta	cccc8fbe2f	community[patch]: DuckDB VS - expose similarity, improve performance of from_texts (#20971 ) 3 fixes of DuckDB vector store: - unify defaults in constructor and from_texts (users no longer have to specify `vector_key`). - include search similarity into output metadata (fixes #20969) - significantly improve performance of `from_documents` Dependencies: added Pandas to speed up `from_documents`. I was thinking about CSV and JSON options, but I expect trouble loading JSON values this way and also CSV and JSON options require storing data to disk. Anyway, the poetry file for langchain-community already contains a dependency on Pandas. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: ccurme <chester.curme@gmail.com>	4 months ago
Ameya Shenoy	8ba492ed6a	community[minor]: clickhouse -- ability to use secure connection (#22108 ) - Description: this PR gives clickhouse client the ability to use a secure connection to the clickhosue server - Issue: fixes #22082 - Dependencies: - - Twitter handle: `_codingcoffee_` Signed-off-by: Ameya Shenoy <shenoy.ameya@gmail.com> Co-authored-by: Shresth Rana <shresth@grapevine.in>	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
Sky	12d65f17ff	community[patch]: surrealdb provide functions for MMR (Maximal Marginal Relevance) (#21185 ) This PR contains 4 added functions: - max_marginal_relevance_search_by_vector - amax_marginal_relevance_search_by_vector - max_marginal_relevance_search - amax_marginal_relevance_search I'm no langchain expert, but tried do inspect other vectorstore sources like chroma, to build these functions for SurrealDB. If someone has some changes for me, please let me know. Otherwise I would be happy, if these changes are added to the repository, so that I can use the orignal repo and not my local monkey patched version. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Bagatur	50186da0a1	infra: rm unused # noqa violations (#22049 ) Updating #21137	4 months ago
Mohammad Mohtashim	16617dd239	community[patch]: AzureSearchVectorStoreRetriever Fixed to account for search_kwargs (#21572 ) - Description: Fixed `AzureSearchVectorStoreRetriever` to account for search_kwargs. More explanation is in the mentioned issue. - Issue: #21492 --------- Co-authored-by: MAC <mac@MACs-MacBook-Pro.local> Co-authored-by: Massimiliano Pronesti <massimiliano.pronesti@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
CaroFG	6b98140b38	community[patch]: update for compatibility with Meilisearch v1.8 (#21979 ) Thank you for contributing to LangChain! - [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: Updates Meilisearch vectorstore for compatibility with v1.8. Adds [”showRankingScore”: true”](https://www.meilisearch.com/docs/reference/api/search#ranking-score) in the search parameters and replaces `_semanticScore` field with ` _rankingScore` - [ ] 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, ccurme, vbarda, hwchase17.	4 months ago
Oleksii Pokotylo	98c0b093bb	community[patch]: Extend AzureSearch with `maximal_marginal_relevance`, `from_embeddings` (#21065 ) Description: - Extend AzureSearch with `maximal_marginal_relevance` (for vector and hybrid search) - Add construction `from_embeddings` - if the user has already embedded the texts - Add `add_embeddings` - Refactor common parts (`_simple_search`, `_results_to_documents`, `_reorder_results_with_maximal_marginal_relevance`) - Add `vector_search_dimensions` as a parameter to the constructor to avoid extra calls to `embed_query` (most of the time the user applies the same model and knows the dimension) Issue: none Dependencies: none - [x] Add tests and docs: The docstrings have been added to the new functions, and unified for the existing ones. The example notebook is great in illustrating the main usage of AzureSearch, adding the new methods would only dilute the main content. - [x] Lint and test --------- Co-authored-by: Oleksii Pokotylo <oleksii.pokotylo@pwc.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
SaschaStoll	709664a079	community[patch]: Performant filter columns option for Hanavector (#21971 ) Description: Backwards compatible extension of the initialisation interface of HanaDB to allow the user to specify specific_metadata_columns that are used for metadata storage of selected keys which yields increased filter performance. Any not-mentioned metadata remains in the general metadata column as part of a JSON string. Furthermore switched to executemany for batch inserts into HanaDB. Issue: N/A Dependencies: no new dependencies added Twitter handle: @sapopensource --------- Co-authored-by: Martin Kolb <martin.kolb@sap.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Eugene Yurtsev	36813d2f00	community[patch]: Fix remaining __inits__ in community (#22037 ) Fixes the __init__ files in community to use __all__ which is statically defined.	4 months ago
Bagatur	72d4a8eeed	community[patch]: AzureSearch dont overwrite default async (#21989 )	4 months ago
Jesse S	fc79b372cb	community[minor]: add aerospike vectorstore integration (#21735 ) Please let me know if you see any possible areas of improvement. I would very much appreciate your constructive criticism if time allows. Description: - Added a aerospike vector store integration that utilizes [Aerospike-Vector-Search](https://aerospike.com/products/vector-database-search-llm/) add-on. - Added both unit tests and integration tests - Added a docker compose file for spinning up a test environment - Added a notebook Dependencies: any dependencies required for this change - aerospike-vector-search Twitter handle: - No twitter, you can use my GitHub handle or LinkedIn if you'd like Thanks! --------- Co-authored-by: Jesse Schumacher <jschumacher@aerospike.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
缨缨	bd39b2ccdf	community: enable SupabaseVectorStore to support extended table fields (#21762 ) Thank you for contributing to LangChain! - [x] PR title: "community: enable SupabaseVectorStore to support extended table fields" - [x] PR message: - Added extension fields to the function _add_vectors so that users can add other custom fields when insert a record into the database. eg: ![image](https://github.com/langchain-ai/langchain/assets/10885578/e1d5ca20-936e-4cab-ba69-8fdd23b8ce8f) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Tomaz Bratanic	d85e46321a	community[patch]: Better error message for neo4j vector when text is null (#21861 )	4 months ago
Sen Lin	eb7f07ae36	community[patch]: fix typo in ValueError message in load_local function (#21818 ) Description: Corrected an error in the `allow_dangerous_deserialization` message within the `load_local` functions	4 months ago
Massimiliano Pronesti	0c0db7c5db	feat(community): support semantic hybrid score threshold in Azure AI Search (#21527 ) Support semantic hybrid search with a score threshold -- similar to what we do for similarity search and for hybrid search (#20907).	4 months ago
Anush	edd68e4ad4	qdrant: init package (#21146 ) ## Description This PR introduces the new `langchain-qdrant` partner package, intending to deprecate the community package. ## Changes - Moved the Qdrant vector store implementation `/libs/partners/qdrant` with integration tests. - The conditional imports of the client library are now regular with minor implementation improvements. - Added a deprecation warning to `langchain_community.vectorstores.qdrant.Qdrant`. - Replaced references/imports from `langchain_community` with either `langchain_core` or by moving the definitions to the `langchain_qdrant` package itself. - Updated the Qdrant vector store documentation to reflect the changes. ## Testing - `QDRANT_URL` and [`QDRANT_API_KEY`](`583e36bf6b`) env values need to be set to [run integration tests](`d608c93d1f`) in the [cloud](https://cloud.qdrant.tech). - If a Qdrant instance is running at `http://localhost:6333`, the integration tests will use it too. - By default, tests use an [`in-memory`](https://github.com/qdrant/qdrant-client?tab=readme-ov-file#local-mode) instance(Not comprehensive). --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Erick Friis <erickfriis@gmail.com>	4 months ago
Christophe Bornet	66a4da8ad0	community[patch]: Improve Cassandra VectorStore docsctrings (#21620 )	4 months ago
Leonid Ganeline	500569da48	community[patch]: `vectorstores` import update (#21169 ) Issue: we have several helper functions to import third-party libraries like lancedb.import_lancedb in [community.vectorstores](https://api.python.langchain.com/en/latest/vectorstores/langchain_community.vectorstores.lancedb.import_lancedb.html#langchain_community.vectorstores.lancedb.import_lancedb). And we have core.utils.utils.guard_import that works exactly for this purpose. The import_<package> functions work inconsistently and rather be private functions. Change: replaced these functions with the guard_import function. Related to #21133	4 months ago
Yash	cb31c3611f	Ndb enterprise (#21233 ) Description: Adds NeuralDBClientVectorStore to the langchain, which is our enterprise client. --------- Co-authored-by: kartikTAI <129414343+kartikTAI@users.noreply.github.com> Co-authored-by: Kartik Sarangmath <kartik@thirdai.com>	5 months ago
Andreas Motl	17e42bbd18	community[patch]: pgvector: Slight refactoring to make code a bit more reusable (#16243 ) - Description: Improve [pgvector vector store adapter](https://github.com/langchain-ai/langchain/blob/v0.1.1/libs/community/langchain_community/vectorstores/pgvector.py) to make it reusable by adapters deriving from that. - Issue: NA - Dependencies: NA - References: https://github.com/crate-workbench/langchain/pull/1 - Addressed to: @eyurtsev, @cbornet Hi from the CrateDB team, first of all, thanks a stack for conceiving and maintaining LangChain. We are currently [preparing a patch](https://github.com/crate-workbench/langchain/pull/1) for adding [CrateDB](https://github.com/crate/crate) to the list of community adapters. Because CrateDB aims to be compatible with PostgreSQL to some degree, the vector store subsystem in LangChain derives functionality from the corresponding implementation for pgvector. Therefore, in order to make the implementation more reusable, we needed to rename the private methods `__from` and `__query_collection` to the less private counterparts `_from` and `_query_collection`, so they can be overwritten, in order to unlock other adapters deriving from [pgvector](https://github.com/langchain-ai/langchain/blob/v0.1.1/libs/community/langchain_community/vectorstores/pgvector.py). With kind regards, Andreas.	5 months ago
Shailendra Mishra	aa966b6161	Replaced bind variable in SQL with formatted string for compatibility with sql syntax. (#21439 ) 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.	5 months ago
Eugene Yurtsev	6a1d61dbf1	community[patch]: Fix in memory vectorstore to take into account ids when adding docs (#21384 ) Should respect `ids` if passed	5 months ago
Jan Soubusta	d9a61c0fa9	fix: respect table_name argument when calling from_texts (#21252 ) valid for from_documents() as well fixes #21251	5 months ago

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279 Commits (9b3a025f9c806a6f8a00030c7058c689536ae5a0)