990 Commits (master)

Author	SHA1	Message	Date
Jofthomas	afd85b60fc	huggingface: init package (#21097) ... First Pr for the langchain_huggingface partner Package - Moved some of the hugging face related class from `community` to the new `partner package` Still needed : - Documentation - Tests - Support for the new apply_chat_template in `ChatHuggingFace` - Confirm choice of class to support for embeddings witht he sentence-transformer team. cc : @efriis --------- Co-authored-by: Cyril Kondratenko <kkn1993@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	7 hours ago
Tomaz Bratanic	9fce03e7db	community[patch]: Fix neo4j enhanced schema (#21582)	9 hours ago
Christophe Bornet	66a4da8ad0	community[patch]: Improve Cassandra VectorStore docsctrings (#21620)	9 hours ago
Eugene Yurtsev	25fbe356b4	community[patch]: upgrade to recent version of mypy (#21616) ... This PR upgrades community to a recent version of mypy. It inserts type: ignore on all existing failures.	9 hours ago
Jorge Piedrahita Ortiz	4378fbbef0	community[patch]: Fix typos in Sambanova integration doc-strings (#21617) ... - **Description:** Sambanova integration docstrings updated, bad formated --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	10 hours ago
Christophe Bornet	bcf53f93e1	[community]: Add missing docstring param to CassandraLoader (#21611)	12 hours ago
Christophe Bornet	e6fa4547b1	community[minor]: Add alazy_load to AsyncHtmlLoader (#21536) ... Also fixes a bug that `_scrape` was called and was doing a second HTTP request synchronously. **Twitter handle:** cbornet_	12 hours 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	14 hours ago
ccurme	3003363605	langchain, community: remove cap on sqlalchemy and bump duckdb (#21509)	14 hours ago
Erick Friis	3db85cbb5b	community: deps (#21508)	4 days ago
ccurme	375f447e58	community: fix builds with min dependencies (#21495)	4 days ago
ccurme	3bb9bec314	bedrock: add unit test for retriever (#21485) ... This was implemented in https://github.com/langchain-ai/langchain/pull/21349 but dropped before merge.	5 days ago
Renu Rozera	4035a1d234	Add source metadata to bedrock retriever response (#21349) ... Thank you for contributing to LangChain! - [X] **PR title**: "community: Add source metadata to bedrock retriever response" - [X] **PR message**: - **Description:** Bedrock retrieve API returns extra metadata in the response which is currently not returned in the retriever response - **Issue:** The change adds the metadata from bedrock retrieve API response to the bedrock retriever in a backward compatible way. Renamed metadata to sourceMetadata as metadata term is being used in the Document already. This is in sync with what we are doing in llama-index as well. - **Dependencies:** No - [X] **Add tests and docs**: 1. Added unit tests 2. Notebook already exists and does not need any change 3. Response from end to end testing, just to ensure backward compatibility: `[Document(page_content='Exoplanets.', metadata={'location': {'s3Location': {'uri': 's3://bucket/file_name.txt'}, 'type': 'S3'}, 'score': 0.46886647, 'source_metadata': {'x-amz-bedrock-kb-source-uri': 's3://bucket/file_name.txt', 'tag': 'space', 'team': 'Nasa', 'year': 1946.0}})]` - [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: Piyush Jain <piyushjain@duck.com>	5 days ago
Erick Friis	f178c67ad0	community: release 0.2.0rc1, bump deps (#21470)	5 days ago
roiperlman	9992beaff9	community: Add arguments to whisper parser (#20378) ... **Description:** Added a few additional arguments to the whisper parser, which can be consumed by the underlying API. The prompt is especially important to fine-tune transcriptions. --------- Co-authored-by: Roi Perlman <roi@fivesigmalabs.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 days 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 days ago
Oguz Vuruskaner	5b35f077f9	[community][fix](DeepInfraEmbeddings): Implement chunking for large batches (#21189) ... **Description:** This PR introduces chunking logic to the `DeepInfraEmbeddings` class to handle large batch sizes without exceeding maximum batch size of the backend. This enhancement ensures that embedding generation processes large batches by breaking them down into smaller, manageable chunks, each conforming to the maximum batch size limit. **Issue:** Fixes #21189 **Dependencies:** No new dependencies introduced.	5 days ago
Sokolov Fedor	f4ddf64faa	community: Add MarkdownifyTransformer to langchain_community.document_transformers (#21247) ... - Added new document_transformer: MarkdonifyTransformer, that uses `markdonify` package with customizable options to convert HTML to Markdown. It's similar to Html2TextTransformer, but has more flexible options and also I've noticed that sometimes MarkdownifyTransformer performs better than html2text one, so that's why I use markdownify on my project. - Added docs and tests - Usage: ```python from langchain_community.document_transformers import MarkdownifyTransformer markdownify = MarkdownifyTransformer() docs_transform = markdownify.transform_documents(docs) ``` - Example of better performance on simple task, that I've noticed: ``` <html> <head><title>Reports on product movement</title></head> <body> <p data-block-key="2wst7">The reports on product movement will be useful for forming supplier orders and controlling outcomes.</p> </body> ``` **Html2TextTransformer**: ```python [Document(page_content='The reports on product movement will be useful for forming supplier orders and\ncontrolling outcomes.\n\n')] # Here we can see 'and\ncontrolling', which has extra '\n' in it ``` **MarkdownifyTranformer**: ```python [Document(page_content='Reports on product movement\n\nThe reports on product movement will be useful for forming supplier orders and controlling outcomes.')] ``` --------- Co-authored-by: Sokolov Fedor <f.sokolov@sokolov-macbook.bbrouter> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Sokolov Fedor <f.sokolov@sokolov-macbook.local> Co-authored-by: Sokolov Fedor <f.sokolov@192.168.1.6>	5 days ago
Alex JW	d3ce6aad2e	community: Instantiate GPT4AllEmbeddings with parameters (#21238) ... ### GPT4AllEmbeddings parameters --- **Description:** As of right now the **Embed4All** class inside _GPT4AllEmbeddings_ is instantiated as it's default which leaves no room to customize the chosen model and it's behavior. Thus: - GPT4AllEmbeddings can now be instantiated with custom parameters like a different model that shall be used. --------- Co-authored-by: AlexJauchWalser <alexander.jauch-walser@knime.com>	5 days ago
Philippe PRADOS	7be68228da	community[patch]: Make sql record manager fully compatible with async (#20735) ... The `_amake_session()` method does not allow modifying the `self.session_factory` with anything other than `async_sessionmaker`. This prohibits advanced uses of `index()`. In a RAG architecture, it is necessary to import document chunks. To keep track of the links between chunks and documents, we can use the `index()` API. This API proposes to use an SQL-type record manager. In a classic use case, using `SQLRecordManager` and a vector database, it is impossible to guarantee the consistency of the import. Indeed, if a crash occurs during the import (problem with the network, ...) there is an inconsistency between the SQL database and the vector database. With the [PR](https://github.com/langchain-ai/langchain-postgres/pull/32) we are proposing for `langchain-postgres`, it is now possible to guarantee the consistency of the import of chunks into a vector database. It's possible only if the outer session is built with the connection. ```python def main(): db_url = "postgresql+psycopg://postgres:password_postgres@localhost:5432/" engine = create_engine(db_url, echo=True) embeddings = FakeEmbeddings() pgvector:VectorStore = PGVector( embeddings=embeddings, connection=engine, ) record_manager = SQLRecordManager( namespace="namespace", engine=engine, ) record_manager.create_schema() with engine.connect() as connection: session_maker = scoped_session(sessionmaker(bind=connection)) # NOTE: Update session_factories record_manager.session_factory = session_maker pgvector.session_maker = session_maker with connection.begin(): loader = CSVLoader( "data/faq/faq.csv", source_column="source", autodetect_encoding=True, ) result = index( source_id_key="source", docs_source=loader.load()[:1], cleanup="incremental", vector_store=pgvector, record_manager=record_manager, ) print(result) ``` The same thing is possible asynchronously, but a bug in `sql_record_manager.py` in `_amake_session()` must first be fixed. ```python async def _amake_session(self) -> AsyncGenerator[AsyncSession, None]: """Create a session and close it after use.""" # FIXME: REMOVE if not isinstance(self.session_factory, async_sessionmaker):~~ if not isinstance(self.engine, AsyncEngine): raise AssertionError("This method is not supported for sync engines.") async with self.session_factory() as session: yield session ``` Then, it is possible to do the same thing asynchronously: ```python async def main(): db_url = "postgresql+psycopg://postgres:password_postgres@localhost:5432/" engine = create_async_engine(db_url, echo=True) embeddings = FakeEmbeddings() pgvector:VectorStore = PGVector( embeddings=embeddings, connection=engine, ) record_manager = SQLRecordManager( namespace="namespace", engine=engine, async_mode=True, ) await record_manager.acreate_schema() async with engine.connect() as connection: session_maker = async_scoped_session( async_sessionmaker(bind=connection), scopefunc=current_task) record_manager.session_factory = session_maker pgvector.session_maker = session_maker async with connection.begin(): loader = CSVLoader( "data/faq/faq.csv", source_column="source", autodetect_encoding=True, ) result = await aindex( source_id_key="source", docs_source=loader.load()[:1], cleanup="incremental", vector_store=pgvector, record_manager=record_manager, ) print(result) asyncio.run(main()) ``` --------- Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Sean <sean@upstage.ai> Co-authored-by: JuHyung-Son <sonju0427@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: YISH <mokeyish@hotmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Jason_Chen <820542443@qq.com> Co-authored-by: Joan Fontanals <joan.fontanals.martinez@jina.ai> Co-authored-by: Pavlo Paliychuk <pavlo.paliychuk.ca@gmail.com> Co-authored-by: fzowl <160063452+fzowl@users.noreply.github.com> Co-authored-by: samanhappy <samanhappy@gmail.com> Co-authored-by: Lei Zhang <zhanglei@apache.org> Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com> Co-authored-by: merdan <48309329+merdan-9@users.noreply.github.com> Co-authored-by: ccurme <chester.curme@gmail.com> Co-authored-by: Andres Algaba <andresalgaba@gmail.com> Co-authored-by: davidefantiniIntel <115252273+davidefantiniIntel@users.noreply.github.com> Co-authored-by: Jingpan Xiong <71321890+klaus-xiong@users.noreply.github.com> Co-authored-by: kaka <kaka@zbyte-inc.cloud> Co-authored-by: jingsi <jingsi@leadincloud.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Rahul Triptahi <rahul.psit.ec@gmail.com> Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Shengsheng Huang <shannie.huang@gmail.com> Co-authored-by: Michael Schock <mjschock@users.noreply.github.com> Co-authored-by: Anish Chakraborty <anish749@users.noreply.github.com> Co-authored-by: am-kinetica <85610855+am-kinetica@users.noreply.github.com> Co-authored-by: Dristy Srivastava <58721149+dristysrivastava@users.noreply.github.com> Co-authored-by: Matt <matthew.gotteiner@microsoft.com> Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>	5 days 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 days ago
Mehrdad Shokri	f103927b88	bugfix(community): fix Playwright import paths. (#21395) ... - **Description:** Fix import class name exporeted from 'playwright.async_api' and 'playwright.sync_api' to match the correct name in playwright tool. Change import from inline guard_import to helper function that calls guard_import to make code more readable in gmail tool. Upgrade playwright version to 1.43.0 - **Issue:** #21354 - **Dependencies:** upgrade playwright version(this is not required for the bugfix itself, just trying to keep dependencies fresh. I can remove the playwright version upgrade if you want.)	5 days 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 days ago
Eugene Yurtsev	f92006de3c	multiple: langchain 0.2 in master (#21191) ... 0.2rc migrations - [x] Move memory - [x] Move remaining retrievers - [x] graph_qa chains - [x] some dependency from evaluation code potentially on math utils - [x] Move openapi chain from `langchain.chains.api.openapi` to `langchain_community.chains.openapi` - [x] Migrate `langchain.chains.ernie_functions` to `langchain_community.chains.ernie_functions` - [x] migrate `langchain/chains/llm_requests.py` to `langchain_community.chains.llm_requests` - [x] Moving `langchain_community.cross_enoders.base:BaseCrossEncoder` -> `langchain_community.retrievers.document_compressors.cross_encoder:BaseCrossEncoder` (namespace not ideal, but it needs to be moved to `langchain` to avoid circular deps) - [x] unit tests langchain -- add pytest.mark.community to some unit tests that will stay in langchain - [x] unit tests community -- move unit tests that depend on community to community - [x] mv integration tests that depend on community to community - [x] mypy checks Other todo - [x] Make deprecation warnings not noisy (need to use warn deprecated and check that things are implemented properly) - [x] Update deprecation messages with timeline for code removal (likely we actually won't be removing things until 0.4 release) -- will give people more time to transition their code. - [ ] Add information to deprecation warning to show users how to migrate their code base using langchain-cli - [ ] Remove any unnecessary requirements in langchain (e.g., is SQLALchemy required?) --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 days ago
Dobiichi-Origami	5b00885b49	community: add `bind_tools` and `with_structured_output` support to `QianfanChatEndpoint` (#21412) ... …Endpoint` 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:** add `bind_tools` and `with_structured_output` support to `QianfanChatEndpoint` - [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/	6 days ago
Leonid Ganeline	791d59a2c8	community: `callbacks` guard_imports (#21173) ... Issue: we have several helper functions to import third-party libraries like import_uptrain in [community.callbacks](https://api.python.langchain.com/en/latest/callbacks/langchain_community.callbacks.uptrain_callback.import_uptrain.html#langchain_community.callbacks.uptrain_callback.import_uptrain). 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	6 days ago
Rahul Triptahi	7994cba18d	[Community][Minor]: Fetch loader_source of GoogleDriveLoader in PebbloSafeLoader. (#21314) ... Description: This PR includes fix for loader_source to be fetched from metadata in case of GdriveLoaders. Documentation: NA Unit Test: NA Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>	6 days ago
Eugene Yurtsev	6a1d61dbf1	community[patch]: Fix in memory vectorstore to take into account ids when adding docs (#21384) ... Should respect `ids` if passed	6 days ago
Miroslav	04e2611fea	Added additional headers for HuggingFaceInferenceAPIEmbeddings endpoint. (#21282) ... Thank you for contributing to LangChain! - [ ] **HuggingFaceInferenceAPIEmbeddings**: "Additional Headers" - Where: langchain, community, embeddings. huggingface.py. - Community: add additional headers when needed by custom HuggingFace TEI embedding endpoints. HuggingFaceInferenceAPIEmbeddings" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** Adding the `additional_headers` to be passed to requests library if needed - **Dependencies:** none - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. Tested with locally available TEI endpoints with and without `additional_headers` 2. Example Usage ```python embeddings=HuggingFaceInferenceAPIEmbeddings( api_key=MY_CUSTOM_API_KEY, api_url=MY_CUSTOM_TEI_URL, additional_headers={ "Content-Type": "application/json" } ) ``` 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: Massimiliano Pronesti <massimiliano.pronesti@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	6 days ago
Guangdong Liu	1fe66f5d39	community(patch) fix MoonshotChat moonshot_api_key is invaild for api key (#21361) ... Description: close https://github.com/langchain-ai/langchain/issues/21237 @baskaryan, @eyurtsev	7 days ago
Wu Enze	32c61b3ece	community[patch]: chat message history mypy fixes #17048 (#20114) ... Relates [#17048] Description : Applied fix to redis and neo4j file. Error was : `Cannot override writeable attribute with read-only property` fix with the same solution of [[langchain/libs/community/langchain_community/chat_message_histories/elasticsearch.py](d5c412b0a9/libs/community/langchain_community/chat_message_histories/elasticsearch.py (L170-L175))] --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	1 week ago
nrpd25	95cc8e3fc3	premai[patch]:Standardized model init args (#21308) ... [Standardized model init args #20085](https://github.com/langchain-ai/langchain/issues/20085) - Enable premai chat model to be initialized with `model_name` as an alias for `model`, `api_key` as an alias for `premai_api_key`. - Add initialization test `test_premai_initialization` --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	1 week ago
Tomaz Bratanic	ac14f171ac	Add indexed properties to neo4j enhanced schema (#21335)	1 week ago
scaserini	a6cdf6572f	community: add Kendra DocumentRelevanceOverrideConfigurations request parameter (#20695) ... - **Description:** add **DocumentRelevanceOverrideConfigurations** request parameter to Kendra retriever Co-authored-by: Simone Caserini <simone.caserini@klarna.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	1 week ago
Jorge Piedrahita Ortiz	e65652c3e8	community: add SambaNova embeddings integration (#21227) ... - **Description:** SambaNova hosted embeddings integration	1 week ago
Jorge Piedrahita Ortiz	df1c10260c	community: minor changes sambanova integration (#21231) ... - **Description:** fix: variable names in root validator not allowing pass credentials as named parameters in llm instancing, also added sambanova's sambaverse and sambastudio llms to __init__.py for module import	1 week ago
Jan Soubusta	d9a61c0fa9	fix: respect table_name argument when calling from_texts (#21252) ... valid for from_documents() as well fixes #21251	1 week ago
Pedro Lima	bebf46c4a2	community: added args_schema to YahooFinanceNewsTool (#21232) ... Description: this change adds args_schema (pydantic BaseModel) to YahooFinanceNewsTool for correct schema formatting on LLM function calls Issue: currently using YahooFinanceNewsTool with OpenAI function calling returns the following error "TypeError("YahooFinanceNewsTool._run() got an unexpected keyword argument '__arg1'")". This happens because the schema sent to the LLM is "input: "{'__arg1': 'MSFT'}"" while the method should be called with the "query" parameter. Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	1 week ago
Mark Cusack	060987d755	community[minor]: Add indexing via locality sensitive hashing to the Yellowbrick vector store (#20856) ... - **Description:** Add LSH-based indexing to the Yellowbrick vector store module - **Twitter handle:** @markcusack --------- Co-authored-by: markcusack <markcusack@markcusacksmac.lan> Co-authored-by: markcusack <markcusack@Mark-Cusack-sMac.local> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	1 week ago
Rashmi Pawar	a2fdabdad2	mark NemoEmbeddings as deprecated (#21239) ... The NemoEmbeddings is deprecated, instead use langchain-nvidia-ai-endpoints NVIDIAEmbeddings interface. cc: @mattf --------- Co-authored-by: Daniel Glogowski <167348611+dglogo@users.noreply.github.com> Co-authored-by: andyjessen <62343929+andyjessen@users.noreply.github.com> Co-authored-by: Chris Germann <88305668+TAAGECH9@users.noreply.github.com> Co-authored-by: gere <gere@kapo.zh.ch> Co-authored-by: Chester Curme <chester.curme@gmail.com>	1 week ago
Erick Friis	5c000f8d79	community: release 0.0.37 (#21332)	1 week ago
Erick Friis	7ecf9996f1	community: Revert "community: langkit dependency" (#21333) ... Reverts langchain-ai/langchain#21174 Hey team - going to revert this because it doesn't seem necessary for testing. We should only be adding optional + extended_testing dependencies for deps that have extended tests. otherwise it just increases probability of dependency conflicts in the community lockfile.	1 week ago
Param Singh	fee91d43b7	baichuan[patch]:standardize chat init args (#21298) ... Thank you for contributing to LangChain! community:baichuan[patch]: standardize init args updated `baichuan_api_key` so that aliased to `api_key`. Added test that it continues to set the same underlying attribute. Test checks for `SecretStr` updated `temperature` with Pydantic Field, added unit test. Related to https://github.com/langchain-ai/langchain/issues/20085	1 week ago
Christophe Bornet	484a009012	community[minor]: Relax constraints on Cassandra VectorStore constructors (#21209) ... If Session and/or keyspace are not provided, they are resolved from cassio's context. So they are not required. This change is fully backward compatible.	1 week ago
Leonid Ganeline	6feddfae88	community: langkit dependency (#21174) ... Issue: the `langkit` package is not presented in the `pyproject.toml` but it is a requirement for the `WhyLabsCallbackHandler` Change: added `langkit` --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	1 week ago
Rohan Aggarwal	8021d2a2ab	community[minor]: Oraclevs integration (#21123) ... Thank you for contributing to LangChain! - Oracle AI Vector Search Oracle AI Vector Search is designed for Artificial Intelligence (AI) workloads that allows you to query data based on semantics, rather than keywords. One of the biggest benefit of Oracle AI Vector Search is that semantic search on unstructured data can be combined with relational search on business data in one single system. This is not only powerful but also significantly more effective because you don't need to add a specialized vector database, eliminating the pain of data fragmentation between multiple systems. - Oracle AI Vector Search is designed for Artificial Intelligence (AI) workloads that allows you to query data based on semantics, rather than keywords. One of the biggest benefit of Oracle AI Vector Search is that semantic search on unstructured data can be combined with relational search on business data in one single system. This is not only powerful but also significantly more effective because you don't need to add a specialized vector database, eliminating the pain of data fragmentation between multiple systems. This Pull Requests Adds the following functionalities Oracle AI Vector Search : Vector Store Oracle AI Vector Search : Document Loader Oracle AI Vector Search : Document Splitter Oracle AI Vector Search : Summary Oracle AI Vector Search : Oracle Embeddings - We have added unit tests and have our own local unit test suite which verifies all the code is correct. We have made sure to add guides for each of the components and one end to end guide that shows how the entire thing runs. - We have made sure that make format and make lint run clean. 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: skmishraoracle <shailendra.mishra@oracle.com> Co-authored-by: hroyofc <harichandan.roy@oracle.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 week ago
Leonid Ganeline	9639457222	community[patch]: `tools` imports (#21156) ... Issue: we have several helper functions to import third-party libraries like tools.gmail.utils.import_google in [community.tools](https://api.python.langchain.com/en/latest/community_api_reference.html#id37). 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	1 week ago
ccurme	6da3d92b42	(all): update removal in deprecation warnings from 0.2 to 0.3 (#21265) ... We are pushing out the removal of these to 0.3. `find . -type f -name "*.py" -exec sed -i '' 's/removal="0\.2/removal="0.3/g' {} +`	1 week ago
Eugene Yurtsev	0989c48028	langchain[minor]: Re-add deleted ainetwork tool (#21254) ... * Adding __init__.py to turn it into a package in community * Adding proxy imports that assume that langchain_community is optional	2 weeks ago
Christophe Bornet	2fbe82f5e6	community[minor]: Relax constraints on CassandraChatMessageHistory constructor (#21241)	2 weeks ago