128 Commits (c8a171a154ed8c953ea26dc161efbc788942bff9)

Author	SHA1	Message	Date
Leonid Kuligin	04d134df17	marked MatchingEngine as deprecated (#18585) ... Thank you for contributing to LangChain! - [ ] **PR title**: "community: deprecate vectorstores.MatchingEngine" - [ ] **PR message**: - **Description:** announced a deprecation since this integration has been moved to langchain_google_vertexai	6 months ago
Aayush Kataria	7c2f3f6f95	community[minor]: Adding Azure Cosmos Mongo vCore Vector DB Cache (#16856) ... Description: This pull request introduces several enhancements for Azure Cosmos Vector DB, primarily focused on improving caching and search capabilities using Azure Cosmos MongoDB vCore Vector DB. Here's a summary of the changes: - **AzureCosmosDBSemanticCache**: Added a new cache implementation called AzureCosmosDBSemanticCache, which utilizes Azure Cosmos MongoDB vCore Vector DB for efficient caching of semantic data. Added comprehensive test cases for AzureCosmosDBSemanticCache to ensure its correctness and robustness. These tests cover various scenarios and edge cases to validate the cache's behavior. - **HNSW Vector Search**: Added HNSW vector search functionality in the CosmosDB Vector Search module. This enhancement enables more efficient and accurate vector searches by utilizing the HNSW (Hierarchical Navigable Small World) algorithm. Added corresponding test cases to validate the HNSW vector search functionality in both AzureCosmosDBSemanticCache and AzureCosmosDBVectorSearch. These tests ensure the correctness and performance of the HNSW search algorithm. - **LLM Caching Notebook** - The notebook now includes a comprehensive example showcasing the usage of the AzureCosmosDBSemanticCache. This example highlights how the cache can be employed to efficiently store and retrieve semantic data. Additionally, the example provides default values for all parameters used within the AzureCosmosDBSemanticCache, ensuring clarity and ease of understanding for users who are new to the cache implementation. @hwchase17,@baskaryan, @eyurtsev,	6 months ago
Sourav Pradhan	50abeb7ed9	community[patch]: fix Chroma add_images (#17964) ... ### Description Fixed a small bug in chroma.py add_images(), previously whenever we are not passing metadata the documents is containing the base64 of the uris passed, but when we are passing the metadata the documents is containing normal string uris which should not be the case. ### Issue In add_images() method when we are calling upsert() we have to use "b64_texts" instead of normal string "uris". ### Twitter handle https://twitter.com/whitepegasus01	6 months ago
sarahberenji	08fa38d56d	community[patch]: the syntax error for Redis generated query (#17717) ... To fix the reported error: https://github.com/langchain-ai/langchain/discussions/17397	6 months ago
certified-dodo	43e3244573	community[patch]: Fix MongoDBAtlasVectorSearch max_marginal_relevance_search (#17971) ... Description: * `self._embedding_key` is accessed after deletion, breaking `max_marginal_relevance_search` search * Introduced in: e135e5257c * Updated but still persists in: ce22e10c4b Issue: https://github.com/langchain-ai/langchain/issues/17963 Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
mwmajewsk	e192f6b6eb	community[patch]: fix, better error message in deeplake vectoriser (#18397) ... If the document loader recieves Pathlib path instead of str, it reads the file correctly, but the problem begins when the document is added to Deeplake. This problem arises from casting the path to str in the metadata. ```python deeplake = True fname = Path('./lorem_ipsum.txt') loader = TextLoader(fname, encoding="utf-8") docs = loader.load_and_split() text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=100) chunks= text_splitter.split_documents(docs) if deeplake: db = DeepLake(dataset_path=ds_path, embedding=embeddings, token=activeloop_token) db.add_documents(chunks) else: db = Chroma.from_documents(docs, embeddings) ``` So using this snippet of code the error message for deeplake looks like this: ``` [part of error message omitted] Traceback (most recent call last): File "/home/mwm/repositories/sources/fixing_langchain/main.py", line 53, in <module> db.add_documents(chunks) File "/home/mwm/repositories/sources/langchain/libs/core/langchain_core/vectorstores.py", line 139, in add_documents return self.add_texts(texts, metadatas, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/mwm/repositories/sources/langchain/libs/community/langchain_community/vectorstores/deeplake.py", line 258, in add_texts return self.vectorstore.add( ^^^^^^^^^^^^^^^^^^^^^ File "/home/mwm/anaconda3/envs/langchain/lib/python3.11/site-packages/deeplake/core/vectorstore/deeplake_vectorstore.py", line 226, in add return self.dataset_handler.add( ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/mwm/anaconda3/envs/langchain/lib/python3.11/site-packages/deeplake/core/vectorstore/dataset_handlers/client_side_dataset_handler.py", line 139, in add dataset_utils.extend_or_ingest_dataset( File "/home/mwm/anaconda3/envs/langchain/lib/python3.11/site-packages/deeplake/core/vectorstore/vector_search/dataset/dataset.py", line 544, in extend_or_ingest_dataset extend( File "/home/mwm/anaconda3/envs/langchain/lib/python3.11/site-packages/deeplake/core/vectorstore/vector_search/dataset/dataset.py", line 505, in extend dataset.extend(batched_processed_tensors, progressbar=False) File "/home/mwm/anaconda3/envs/langchain/lib/python3.11/site-packages/deeplake/core/dataset/dataset.py", line 3247, in extend raise SampleExtendError(str(e)) from e.__cause__ deeplake.util.exceptions.SampleExtendError: Failed to append a sample to the tensor 'metadata'. See more details in the traceback. If you wish to skip the samples that cause errors, please specify `ignore_errors=True`. ``` Which is does not explain the error well enough. The same error for chroma looks like this ``` During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/mwm/repositories/sources/fixing_langchain/main.py", line 56, in <module> db = Chroma.from_documents(docs, embeddings) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/mwm/repositories/sources/langchain/libs/community/langchain_community/vectorstores/chroma.py", line 778, in from_documents return cls.from_texts( ^^^^^^^^^^^^^^^ File "/home/mwm/repositories/sources/langchain/libs/community/langchain_community/vectorstores/chroma.py", line 736, in from_texts chroma_collection.add_texts( File "/home/mwm/repositories/sources/langchain/libs/community/langchain_community/vectorstores/chroma.py", line 309, in add_texts raise ValueError(e.args[0] + "\n\n" + msg) ValueError: Expected metadata value to be a str, int, float or bool, got lorem_ipsum.txt which is a <class 'pathlib.PosixPath'> Try filtering complex metadata from the document using langchain_community.vectorstores.utils.filter_complex_metadata. ``` Which is way more user friendly, so I just added information about possible mismatch of the type in the error message, the same way it is covered in chroma https://github.com/langchain-ai/langchain/blob/master/libs/community/langchain_community/vectorstores/chroma.py#L224	6 months ago
Erick Friis	eefb49680f	multiple[patch]: fix deprecation versions (#18349)	6 months ago
Jib	72bfc1d3db	mongodb[minor]: MongoDB Partner Package -- Porting MongoDBAtlasVectorSearch (#17652) ... This PR migrates the existing MongoDBAtlasVectorSearch abstraction from the `langchain_community` section to the partners package section of the codebase. - [x] Run the partner package script as advised in the partner-packages documentation. - [x] Add Unit Tests - [x] Migrate Integration Tests - [x] Refactor `MongoDBAtlasVectorStore` (autogenerated) to `MongoDBAtlasVectorSearch` - [x] ~Remove~ deprecate the old `langchain_community` VectorStore references. ## Additional Callouts - Implemented the `delete` method - Included any missing async function implementations - `amax_marginal_relevance_search_by_vector` - `adelete` - Added new Unit Tests that test for functionality of `MongoDBVectorSearch` methods - Removed [`del res[self._embedding_key]`](e0c81e1cb0/libs/community/langchain_community/vectorstores/mongodb_atlas.py (L218)) in `_similarity_search_with_score` function as it would make the `maximal_marginal_relevance` function fail otherwise. The `Document` needs to store the embedding key in metadata to work. Checklist: - [x] PR title: Please title your PR "package: description", where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [x] PR message - [x] Pass lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified to check that you're passing lint and testing. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ - [x] Add tests and docs: If you're adding a new integration, please include 1. Existing tests supplied in docs/docs do not change. Updated docstrings for new functions like `delete` 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. (This already exists) If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: Steven Silvester <steven.silvester@ieee.org> Co-authored-by: Erick Friis <erick@langchain.dev>	6 months ago
Tomaz Bratanic	5999c4a240	Add support for parameters in neo4j retrieval query (#18310) ... Sometimes, you want to use various parameters in the retrieval query of Neo4j Vector to personalize/customize results. Before, when there were only predefined chains, it didn't really make sense. Now that it's all about custom chains and LCEL, it is worth adding since users can inject any params they wish at query time. Isn't prone to SQL injection-type attacks since we use parameters and not concatenating strings.	6 months ago
Christophe Bornet	8a81fcd5d3	community: Fix deprecation version of AstraDB VectorStore (#17991)	6 months ago
Ashley Xu	e3211c2b3d	community[patch]: BigQueryVectorSearch JSON type unsupported for metadatas (#18234)	6 months ago
Jaskirat Singh	ce682f5a09	community: vectorstores.kdbai - Added support for when no docs are present (#18103) ... - **Description:** By default it expects a list but that's not the case in corner scenarios when there is no document ingested(use case: Bootstrap application). \ Hence added as check, if the instance is panda Dataframe instead of list then it will procced with return immediately. - **Issue:** NA - **Dependencies:** NA - **Twitter handle:** jaskiratsingh1 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	7 months ago
am-kinetica	9b8f6455b1	Langchain vectorstore integration with Kinetica (#18102) ... - **Description:** New vectorstore integration with the Kinetica database - **Issue:** - **Dependencies:** the Kinetica Python API `pip install gpudb==7.2.0.1`, - **Tag maintainer:** @baskaryan, @hwchase17 - **Twitter handle:** --------- Co-authored-by: Chad Juliano <cjuliano@kinetica.com>	7 months ago
GoodBai	3589a135ef	community: make `SET allow_experimental_[engine]_index` configurabe in vectorstores.clickhouse (#18107) ... ## Description & Issue While following the official doc to use clickhouse as a vectorstore, I found only the default `annoy` index is properly supported. But I want to try another engine `usearch` for `annoy` is not properly supported on ARM platforms. Here is the settings I prefer: ``` python settings = ClickhouseSettings( table="wiki_Ethereum", index_type="usearch", # annoy by default index_param=[], ) ``` The above settings do not work for the command `set allow_experimental_annoy_index=1` is hard-coded. This PR will make sure the experimental feature follow the `index_type` which is also consistent with Clickhouse's naming conventions.	7 months ago
Bagatur	9b0b0032c2	community[patch]: fix lint (#17984)	7 months ago
kartikTAI	9cf6661dc5	community: use NeuralDB object to initialize NeuralDBVectorStore (#17272) ... **Description:** This PR adds an `__init__` method to the NeuralDBVectorStore class, which takes in a NeuralDB object to instantiate the state of NeuralDBVectorStore. **Issue:** N/A **Dependencies:** N/A **Twitter handle:** N/A	7 months ago
Erick Friis	a53370a060	pinecone[patch], docs: PineconeVectorStore, release 0.0.3 (#17896)	7 months ago
Hasan	7248e98b9e	community[patch]: Return PK in similarity search Document (#17561) ... Issue: #17390 Co-authored-by: hasan <hasan@m2sys.com>	7 months ago
ehude	9e54c227f1	community[patch]: Bug Neo4j VectorStore when having multiple indexes the sort is not working and the store that returned is random (#17396) ... Bug fix: when having multiple indexes the sort is not working and the store that returned is random. The following small fix resolves the issue.	7 months ago
Christophe Bornet	5019951a5d	docs: AstraDB VectorStore docstring (#17834)	7 months ago
Rohit Gupta	3acd0c74fc	community[patch]: added SCANN index in default search params (#17889) ... This will enable users to add data in same collection for index type SCANN for milvus	7 months ago
Karim Assi	afc1ba0329	community[patch]: add possibility to search by vector in OpenSearchVectorSearch (#17878) ... - **Description:** implements the missing `similarity_search_by_vector` function for `OpenSearchVectorSearch` - **Issue:** N/A - **Dependencies:** N/A	7 months ago
Nathan Voxland (Activeloop)	9ece134d45	docs: Improved deeplake.py init documentation (#17549) ... **Description:** Updated documentation for DeepLake init method. Especially the exec_option docs needed improvement, but did a general cleanup while I was looking at it. **Issue:** n/a **Dependencies:** None --------- Co-authored-by: Nathan Voxland <nathan@voxland.net>	7 months ago
volodymyr-memsql	0a9a519a39	community[patch]: Added add_images method to SingleStoreDB vector store (#17871) ... In this pull request, we introduce the add_images method to the SingleStoreDB vector store class, expanding its capabilities to handle multi-modal embeddings seamlessly. This method facilitates the incorporation of image data into the vector store by associating each image's URI with corresponding document content, metadata, and either pre-generated embeddings or embeddings computed using the embed_image method of the provided embedding object. the change includes integration tests, validating the behavior of the add_images. Additionally, we provide a notebook showcasing the usage of this new method. --------- Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com>	7 months ago
nbyrneKX	c1bb5fd498	community[patch]: typo in doc-string for kdbai vectorstore (#17811) ... community[patch]: typo in doc-string for kdbai vectorstore (#17811)	7 months ago
Karim Lalani	ea61302f71	community[patch]: bug fix - add empty metadata when metadata not provided (#17669) ... Code fix to include empty medata dictionary to aadd_texts if metadata is not provided.	7 months ago
Raghav Dixit	6c18f73ca5	community[patch]: LanceDB integration improvements/fixes (#16173) ... Hi, I'm from the LanceDB team. Improves LanceDB integration by making it easier to use - now you aren't required to create tables manually and pass them in the constructor, although that is still backward compatible. Bug fix - pandas was being used even though it's not a dependency for LanceDB or langchain PS - this issue was raised a few months ago but lost traction. It is a feature improvement for our users kindly review this , Thanks !	7 months ago
Guangdong Liu	73edf17b4e	community[minor]: Add Apache Doris as vector store (#17527) ... --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Christophe Bornet	19ebc7418e	community: Use _AstraDBCollectionEnvironment in AstraDB VectorStore (community) (#17635) ... Another PR will be done for the langchain-astradb package. Note: for future PRs, devs will be done in the partner package only. This one is just to align with the rest of the components in the community package and it fixes a bunch of issues.	7 months ago
Krista Pratico	bf8e3c6dd1	community[patch]: add fixes for AzureSearch after update to stable azure-search-documents library (#17599) ... - **Description:** Addresses the bugs described in linked issue where an import was erroneously removed and the rename of a keyword argument was missed when migrating from beta --> stable of the azure-search-documents package - **Issue:** https://github.com/langchain-ai/langchain/issues/17598 - **Dependencies:** N/A - **Twitter handle:** N/A	7 months ago
morgana	9d7ca7df6e	community[patch]: update copy of metadata in rockset vectorstore integration (#17612) ... - **Description:** This fixes an issue with working with RecordManager. RecordManager was generating new hashes on documents because `add_texts` was modifying the metadata directly. Additionally moved some tests to unit tests since that was a more appropriate home. - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** `@_morgan_adams_`	7 months ago
Stefano Lottini	5240ecab99	astradb: bootstrapping Astra DB as Partner Package (#16875) ... **Description:** This PR introduces a new "Astra DB" Partner Package. So far only the vector store class is _duplicated_ there, all others following once this is validated and established. Along with the move to separate package, incidentally, the class name will change `AstraDB` => `AstraDBVectorStore`. The strategy has been to duplicate the module (with prospected removal from community at LangChain 0.2). Until then, the code will be kept in sync with minimal, known differences (there is a makefile target to automate drift control. Out of convenience with this check, the community package has a class `AstraDBVectorStore` aliased to `AstraDB` at the end of the module). With this PR several bugfixes and improvement come to the vector store, as well as a reshuffling of the doc pages/notebooks (Astra and Cassandra) to align with the move to a separate package. **Dependencies:** A brand new pyproject.toml in the new package, no changes otherwise. **Twitter handle:** `@rsprrs` --------- Co-authored-by: Christophe Bornet <cbornet@hotmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
volodymyr-memsql	e36bc379f2	community[patch]: Add vector index support to SingleStoreDB VectorStore (#17308) ... This pull request introduces support for various Approximate Nearest Neighbor (ANN) vector index algorithms in the VectorStore class, starting from version 8.5 of SingleStore DB. Leveraging this enhancement enables users to harness the power of vector indexing, significantly boosting search speed, particularly when handling large sets of vectors. --------- Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Ashley Xu	f746a73e26	Add the BQ job usage tracking from LangChain (#17123) ... - **Description:** Add the BQ job usage tracking from LangChain --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Max Jakob	ab3d944667	community[patch]: ElasticsearchStore: preserve user headers (#16830) ... Users can provide an Elasticsearch connection with custom headers. This PR makes sure these headers are preserved when adding the langchain user agent header.	7 months ago
Kapil Sachdeva	cd00a87db7	community[patch] - in FAISS vector store, support passing custom DocStore implementation when using from_xxx methods (#16801) ... - **Description:** The from__xx methods of FAISS class have hardcoded InMemoryStore implementation and thereby not let users pass a custom DocStore implementation, - **Issue:** no referenced issue, - **Dependencies:** none, - **Twitter handle:** ksachdeva	7 months ago
morgana	722aae4fd1	community: add delete method to rocksetdb vectorstore to support recordmanager (#17030) ... - **Description:** This adds a delete method so that rocksetdb can be used with `RecordManager`. - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** `@_morgan_adams_` --------- Co-authored-by: Rockset API Bot <admin@rockset.io>	7 months ago
Lingzhen Chen	30af711c34	community[patch]: update AzureSearch class to work with azure-search-documents=11.4.0 (#15659) ... - **Description:** Updates `libs/community/langchain_community/vectorstores/azuresearch.py` to support the stable version `azure-search-documents=11.4.0` - **Issue:** https://github.com/langchain-ai/langchain/issues/14534, https://github.com/langchain-ai/langchain/issues/15039, https://github.com/langchain-ai/langchain/issues/15355 - **Dependencies:** azure-search-documents>=11.4.0 --------- Co-authored-by: Clément Tamines <Skar0@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Spencer Kelly	54fa78c887	community[patch]: fixed vector similarity filtering (#16967) ... **Description:** changed filtering so that failed filter doesn't add document to results. Currently filtering is entirely broken and all documents are returned whether or not they pass the filter. fixes issue introduced in https://github.com/langchain-ai/langchain/pull/16190	7 months ago
david-tempelmann	93da18b667	community[minor]: Add mmr and similarity_score_threshold retrieval to DatabricksVectorSearch (#16829) ... - **Description:** This PR adds support for `search_types="mmr"` and `search_type="similarity_score_threshold"` to retrievers using `DatabricksVectorSearch`, - **Issue:** - **Dependencies:** - **Twitter handle:** --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Erick Friis	3a2eb6e12b	infra: add print rule to ruff (#16221) ... Added noqa for existing prints. Can slowly remove / will prevent more being intro'd	7 months ago
Jael Gu	c07c0da01a	community[patch]: Fix Milvus add texts when ids=None (#17021) ... - **Description:** Fix Milvus add texts when ids=None (auto_id=True) Signed-off-by: Jael Gu <mengjia.gu@zilliz.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Quang Hoa	54c1fb3f25	community[patch]: Make some functions work with Milvus (#10695) ... **Description** Make some functions work with Milvus: 1. get_ids: Get primary keys by field in the metadata 2. delete: Delete one or more entities by ids 3. upsert: Update/Insert one or more entities **Issue** None **Dependencies** None **Tag maintainer:** @hwchase17 **Twitter handle:** None --------- Co-authored-by: HoaNQ9 <hoanq.1811@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Leonid Ganeline	932c52c333	community[patch]: docstrings (#16810) ... - added missed docstrings - formated docstrings to the consistent form	7 months ago
Kononov Pavel	15bc201967	langchain_community: Fix typo bug (#17324) ... Problem from #17095 This error wasn't in the v1.4.0	7 months ago
Bagatur	02ef9164b5	langchain[patch]: expose cohere rerank score, add parent doc param (#16887)	7 months ago
cjpark-data	ce22e10c4b	community[patch]: Fix KeyError 'embedding' (MongoDBAtlasVectorSearch) (#17178) ... - **Description:** Embedding field name was hard-coded named "embedding". So I suggest that change `res["embedding"]` into `res[self._embedding_key]`. - **Issue:** #17177, - **Twitter handle:** [@bagcheoljun17](https://twitter.com/bagcheoljun17)	7 months ago
ByeongUk Choi	b88329e9a5	community[patch]: Implement Unique ID Enforcement in FAISS (#17244) ... **Description:** Implemented unique ID validation in the FAISS component to ensure all document IDs are distinct. This update resolves issues related to non-unique IDs, such as inconsistent behavior during deletion processes.	7 months ago
Bagatur	af74301ab9	core[patch], community[patch]: link extraction continue on failure (#17200)	7 months ago
Erick Friis	6ffd5b15bc	pinecone: init pkg (#16556) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	7 months ago