langchain

Commit Graph

Author	SHA1	Message	Date
Victor Adan	afa2d85405	community[patch]: Added missing from_documents method to KNNRetriever. (#18411 ) - Description: Added missing `from_documents` method to `KNNRetriever`, providing the ability to supply metadata to LangChain `Document`s, and to give it parity to the other retrievers, which do have `from_documents`. - Issue: None - Dependencies: None - Twitter handle: None Co-authored-by: Victor Adan <vadan@netroadshow.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Smit Parmar	dfc4177b50	community[patch]: mypy ignore fix (#18483 ) Relates to #17048 Description : Applied fix to dynamodb and elasticsearch file. Error was : `Cannot override writeable attribute with read-only property` Suggestion: instead of adding ``` @messages.setter def messages(self, messages: List[BaseMessage]) -> None: raise NotImplementedError("Use add_messages instead") ``` we can change base class property `messages: List[BaseMessage]` to ``` @property def messages(self) -> List[BaseMessage]:... ``` then we don't need to add `@messages.setter` in all child classes.	6 months ago
Luca Dorigo	f19229c564	core[patch]: fix beta, deprecated typing (#18877 ) Description: While not technically incorrect, the TypeVar used for the `@beta` decorator prevented pyright (and thus most vscode users) from correctly seeing the types of functions/classes decorated with `@beta`. This is in part due to a small bug in pyright (https://github.com/microsoft/pyright/issues/7448 ) - however, the `Type` bound in the typevar `C = TypeVar("C", Type, Callable)` is not doing anything - classes are `Callables` by default, so by my understanding binding to `Type` does not actually provide any more safety - the modified annotation still works correctly for both functions, properties, and classes. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
wulixuan	b7c8bc8268	community[patch]: fix yuan2 errors in LLMs (#19004 ) 1. fix yuan2 errors while invoke Yuan2. 2. update tests.	6 months ago
高远	688ca48019	community[patch]: Adding validation when vector does not exist (#19698 ) Adding validation when vector does not exist Co-authored-by: gaoyuan <gaoyuan.20001218@bytedance.com>	6 months ago
Chaunte W. Lacewell	4a49fc5a95	community[patch]: Fix bug in vdms (#19728 ) Description: Fix embedding check in vdms Contribution maintainer: [@cwlacewe](https://github.com/cwlacewe)	6 months ago
高璟琦	75173d31db	community[minor]: Add solar model chat model (#18556 ) Add our solar chat models, available model choices: * solar-1-mini-chat * solar-1-mini-translate-enko * solar-1-mini-translate-koen More documents and pricing can be found at https://console.upstage.ai/services/solar. The references to our solar model can be found at * https://arxiv.org/abs/2402.17032 --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Davide Menini	f7042321f1	community[patch]: gather token usage info in BedrockChat during generation (#19127 ) This PR allows to calculate token usage for prompts and completion directly in the generation method of BedrockChat. The token usage details are then returned together with the generations, so that other downstream tasks can access them easily. This allows to define a callback for tokens tracking and cost calculation, similarly to what happens with OpenAI (see [OpenAICallbackHandler](https://api.python.langchain.com/en/latest/_modules/langchain_community/callbacks/openai_info.html#OpenAICallbackHandler). I plan on adding a BedrockCallbackHandler later. Right now keeping track of tokens in the callback is already possible, but it requires passing the llm, as done here: https://how.wtf/how-to-count-amazon-bedrock-anthropic-tokens-with-langchain.html. However, I find the approach of this PR cleaner. Thanks for your reviews. FYI @baskaryan, @hwchase17 --------- Co-authored-by: taamedag <Davide.Menini@swisscom.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
ligang-super	a662468dde	community[patch]: Fix the error of Baidu Qianfan not passing the stop parameter (#18666 ) - [x] PR title: "community: fix baidu qianfan missing stop parameter" - [x] PR message: - **Description: Baidu Qianfan lost the stop parameter when requesting service due to extracting it from kwargs. This bug can cause the agent to receive incorrect results --------- Co-authored-by: ligang33 <ligang33@baidu.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
kaijietti	9c4b6dc979	community[patch]: fix bug in cohere that `async for` a coroutine in ChatCohere (#19381 ) Without `await`, the `stream` returned from the `async_client` is actually a coroutine, which could not be used in `async for`.	6 months ago
Christian Galo	1adaa3c662	community[minor]: Update Azure Cognitive Services to Azure AI Services (#19488 ) This is a follow up to #18371. These are the changes: - New Azure AI Services toolkit and tools to replace those of Azure Cognitive Services. - Updated documentation for Microsoft platform. - The image analysis tool has been rewritten to use the new package `azure-ai-vision-imageanalysis`, doing a proper replacement of `azure-ai-vision`. These changes: - Update outdated naming from "Azure Cognitive Services" to "Azure AI Services". - Update documentation to use non-deprecated methods to create and use agents. - Removes need to depend on yanked python package (`azure-ai-vision`) There is one new dependency that is needed as a replacement to `azure-ai-vision`: - `azure-ai-vision-imageanalysis`. This is optional and declared within a function. There is a new `azure_ai_services.ipynb` notebook showing usage; Changes have been linted and formatted. I am leaving the actions of adding deprecation notices and future removal of Azure Cognitive Services up to the LangChain team, as I am not sure what the current practice around this is. --- If this PR makes it, my handle is @galo@mastodon.social --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: ccurme <chester.curme@gmail.com>	6 months ago
Shengsheng Huang	ac1dd8ad94	community[minor]: migrate `bigdl-llm` to `ipex-llm` (#19518 ) - Description: `bigdl-llm` library has been renamed to [`ipex-llm`](https://github.com/intel-analytics/ipex-llm). This PR migrates the `bigdl-llm` integration to `ipex-llm` . - Issue: N/A. The original PR of `bigdl-llm` is https://github.com/langchain-ai/langchain/pull/17953 - Dependencies: `ipex-llm` library - Contribution maintainer: @shane-huang Updated doc: docs/docs/integrations/llms/ipex_llm.ipynb Updated test: libs/community/tests/integration_tests/llms/test_ipex_llm.py	6 months ago
Chaunte W. Lacewell	a31f692f4e	community[minor]: Add VDMS vectorstore (#19551 ) - Description: Add support for Intel Lab's [Visual Data Management System (VDMS)](https://github.com/IntelLabs/vdms) as a vector store - Dependencies: `vdms` library which requires protobuf = "4.24.2". There is a conflict with dashvector in `langchain` package but conflict is resolved in `community`. - Contribution maintainer: [@cwlacewe](https://github.com/cwlacewe) - Added tests: libs/community/tests/integration_tests/vectorstores/test_vdms.py - Added docs: docs/docs/integrations/vectorstores/vdms.ipynb - Added cookbook: cookbook/multi_modal_RAG_vdms.ipynb --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
William FH	b7b62e29fb	community[patch], mongodb[patch]: Stop spamming SIMD import warnings (#19531 ) If you use an embedding dist function in an eval loop, you get warned every time. Would prefer to just check once and forget about it. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
yongheng.liu	7e29b6061f	community[minor]: integrate China Mobile Ecloud vector search (#15298 ) - Description: integrate China Mobile Ecloud vector search, - Dependencies: elasticsearch==7.10.1 Co-authored-by: liuyongheng <liuyongheng@cmss.chinamobile.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Hyeongchan Kim	9b70131aed	community[patch]: refactor the type hint of `file_path` in `UnstructuredAPIFileLoader` class (#18839 ) * Description: add `None` type for `file_path` along with `str` and `List[str]` types. * `file_path`/`filename` arguments in `get_elements_from_api()` and `partition()` can be `None`, however, there's no `None` type hint for `file_path` in `UnstructuredAPIFileLoader` and `UnstructuredFileLoader` currently. * calling the function with `file_path=None` is no problem, but my IDE annoys me lol. * Issue: N/A * Dependencies: N/A Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
CaroFG	cf96060ab7	community[patch]: update for compatibility with latest Meilisearch version (#18970 ) - Description: Updates Meilisearch vectorstore for compatibility with v1.6 and above. Adds embedders settings and embedder_name which are now required. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
chyroc	be2adb1083	community[patch]: support unstructured_kwargs for s3 loader (#15473 ) fix https://github.com/langchain-ai/langchain/issues/15472 Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Evgenii Zheltonozhskii	5b1f9c6d3a	infra: Consistent lxml requirements (#19520 ) Update the dependency for lxml to be consistent among different packages; should fix https://github.com/langchain-ai/langchain/issues/19040	6 months ago
Tomaz Bratanic	87d2a6b777	community[minor]: Add the option to omit schema refresh in Neo4jGraph (#19654 )	6 months ago
Rajendra Kadam	0019d8a948	community[minor]: Add support for non-file-based Document Loaders in PebbloSafeLoader (#19574 ) Description: PebbloSafeLoader: Add support for non-file-based Document Loaders This pull request enhances PebbloSafeLoader by introducing support for several non-file-based Document Loaders. With this update, PebbloSafeLoader now seamlessly integrates with the following loaders: - GoogleDriveLoader - SlackDirectoryLoader - Unstructured EmailLoader Issue: NA Dependencies: - None Twitter handle: @Raj__725 --------- Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>	6 months ago
hulitaitai	dc2c9dd4d7	Update text2vec.py (#19657 ) Add that URL of the embedding tool "text2vec". Fix minor mistakes in the doc-string.	6 months ago
Guangdong Liu	7042934b5f	community[patch]: Fix the bug that Chroma does not specify `embedding_function` (#19277 ) - Issue: close #18291 - @baskaryan, @eyurtsev PTAL	6 months ago
yuwenzho	3a7d2cf443	community[minor]: Add ITREX optimized Embeddings (#18474 ) Introduction [Intel® Extension for Transformers](https://github.com/intel/intel-extension-for-transformers) is an innovative toolkit designed to accelerate GenAI/LLM everywhere with the optimal performance of Transformer-based models on various Intel platforms Description adding ITREX runtime embeddings using intel-extension-for-transformers. added mdx documentation and example notebooks added embedding import testing. --------- Signed-off-by: yuwenzho <yuwen.zhou@intel.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Fabrizio Ruocco	f12cb0bea4	community[patch]: Microsoft Azure Document Intelligence updates (#16932 ) - Description: Update Azure Document Intelligence implementation by Microsoft team and RAG cookbook with Azure AI Search --------- Co-authored-by: Lu Zhang (AI) <luzhan@microsoft.com> Co-authored-by: Yateng Hong <yatengh@microsoft.com> Co-authored-by: teethache <hongyateng2006@126.com> Co-authored-by: Lu Zhang <44625949+luzhang06@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Timothy	ad77fa15ee	community[patch]: Adding try-except block for GCSDirectoryLoader (#19591 ) - Description: Implemented try-except block for `GCSDirectoryLoader`. Reason: Users processing large number of unstructured files in a folder may experience many different errors. A try-exception block is added to capture these errors. A new argument `use_try_except=True` is added to enable silent failure so that error caused by processing one file does not break the whole function. - Issue: N/A - Dependencies: no new dependencies - Twitter handle: timothywong731 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
xsai9101	160a8eb178	community[minor]: add oracle autonomous database doc loader integration (#19536 ) Thank you for contributing to LangChain! - [ ] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] PR message: *Delete this entire checklist* and replace with - Description: Adding oracle autonomous database document loader integration. This will allow users to connect to oracle autonomous database through connection string or TNS configuration. https://www.oracle.com/autonomous-database/ - Issue: None - Dependencies: oracledb python package https://pypi.org/project/oracledb/ - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. Unit test and doc are added. - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Adam Law	aeb7b6b11d	community[patch]: use semantic_configurations in AzureSearch (#19347 ) - Description: Currently the semantic_configurations are not used when creating an AzureSearch instance, instead creating a new one with default values. This PR changes the behavior to use the passed semantic_configurations if it is present, and the existing default configuration if not. --------- Co-authored-by: Adam Law <adamlaw@microsoft.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Adrian Valente	2763d8cbe5	community: add len() implementation to Chroma (#19419 ) Thank you for contributing to LangChain! - [x] Add len() implementation to Chroma: "package: community" - [x] PR message: - Description: add an implementation of the __len__() method for the Chroma vectostore, for convenience. - Issue: no exposed method to know the size of a Chroma vectorstore - Dependencies: None - Twitter handle: lowrank_adrian - [x] Add tests and docs - [x] Lint and test --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Tom Aarsen	e0a1278d2b	docs: HFEmbeddings: Add more information to model_kwargs/encode_kwargs (#19594 ) - Description: Be more explicit with the `model_kwargs` and `encode_kwargs` for `HuggingFaceEmbeddings`. - Issue: - - Dependencies: - I received some reports by my users that they didn't realise that you could change the default `batch_size` with `HuggingFaceEmbeddings`, which may be attributed to how the `model_kwargs` and `encode_kwargs` don't give much information about what you can specify. I've added some parameter names & links to the Sentence Transformers documentation to help clear it up. Let me know if you'd rather have Markdown/Sphinx-style hyperlinks rather than a "bare URL". - Tom Aarsen	6 months ago
Dobiichi-Origami	18e6f9376d	community[Qianfan]: add function_call in additional_kwargs (#19550 ) - Description: add lacked `function_call` field in `additional_kwargs` in previous version - Dependencies: None of new dependency	6 months ago
mwmajewsk	f7a1fd91b8	community: better support of pathlib paths in document loaders (#18396 ) So this arose from the https://github.com/langchain-ai/langchain/pull/18397 problem of document loaders not supporting `pathlib.Path`. This pull request provides more uniform support for Path as an argument. The core ideas for this upgrade: - if there is a local file path used as an argument, it should be supported as `pathlib.Path` - if there are some external calls that may or may not support Pathlib, the argument is immidiately converted to `str` - if there `self.file_path` is used in a way that it allows for it to stay pathlib without conversion, is is only converted for the metadata. Twitter handle: https://twitter.com/mwmajewsk	6 months ago
Yuki Watanabe	cfecbda48b	community[minor]: Allow passing `allow_dangerous_deserialization` when loading LLM chain (#18894 ) ### Issue Recently, the new `allow_dangerous_deserialization` flag was introduced for preventing unsafe model deserialization that relies on pickle without user's notice (#18696). Since then some LLMs like Databricks requires passing in this flag with true to instantiate the model. However, this breaks existing functionality to loading such LLMs within a chain using `load_chain` method, because the underlying loader function [load_llm_from_config](`f96dd57501/libs/langchain/langchain/chains/loading.py (L40)`) (and load_llm) ignores keyword arguments passed in. ### Solution This PR fixes this issue by propagating the `allow_dangerous_deserialization` argument to the class loader iff the LLM class has that field. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
hulitaitai	d7c14cb6f9	community[minor]: Add embeddings integration for text2vec (#19267 ) Create a Class which allows to use the "text2vec" open source embedding model. It should install the model by running 'pip install -U text2vec'. Example to call the model through LangChain: from langchain_community.embeddings.text2vec import Text2vecEmbeddings embedding = Text2vecEmbeddings() bookend.embed_documents([ "This is a CoSENT(Cosine Sentence) model.", "It maps sentences to a 768 dimensional dense vector space.", ]) bookend.embed_query( "It can be used for text matching or semantic search." ) --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Eugene Yurtsev <eugene@langchain.dev> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
Kalyan Mudumby	d27600c6f7	community[patch]: GPTCache pydantic validation error on lookup (#19427 ) Description: this change fixes the pydantic validation error when looking up from GPTCache, the `ChatOpenAI` class returns `ChatGeneration` as response which is not handled. use the existing `_loads_generations` and `_dumps_generations` functions to handle it Trace ``` File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/development/scripts/chatbot-postgres-test.py", line 90, in <module> print(llm.invoke("tell me a joke")) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 166, in invoke self.generate_prompt( File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 544, in generate_prompt return self.generate(prompt_messages, stop=stop, callbacks=callbacks, kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 408, in generate raise e File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 398, in generate self._generate_with_cache( File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 585, in _generate_with_cache cache_val = llm_cache.lookup(prompt, llm_string) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_community/cache.py", line 807, in lookup return [ ^ File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_community/cache.py", line 808, in <listcomp> Generation(generation_dict) for generation_dict in json.loads(res) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/load/serializable.py", line 120, in __init__ super().__init__(**kwargs) File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/pydantic/v1/main.py", line 341, in __init__ raise validation_error pydantic.v1.error_wrappers.ValidationError: 1 validation error for Generation type unexpected value; permitted: 'Generation' (type=value_error.const; given=ChatGeneration; permitted=('Generation',)) ``` Although I don't seem to find any issues here, here's an [issue](https://github.com/zilliztech/GPTCache/issues/585) raised in GPTCache. Please let me know if I need to do anything else Thank you --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Piyush Jain	72ba738bf5	community[minor]: Improvements for NeptuneRdfGraph, Improve discovery of graph schema using database statistics (#19546 ) Fixes linting for PR [19244](https://github.com/langchain-ai/langchain/pull/19244) --------- Co-authored-by: mhavey <mchavey@gmail.com>	6 months ago
Christophe Bornet	8595c3ab59	community[minor]: Add InMemoryVectorStore to module level imports (#19576 )	6 months ago
Aayush Kataria	03c38005cb	community[patch]: Fixing some caching issues for AzureCosmosDBSemanticCache (#18884 ) Fixing some issues for AzureCosmosDBSemanticCache - Added the entry for "AzureCosmosDBSemanticCache" which was missing in langchain/cache.py - Added application name when creating the MongoClient for the AzureCosmosDBVectorSearch, for tracking purposes. @baskaryan, can you please review this PR, we need this to go in asap. These are just small fixes which we found today in our testing.	6 months ago
Clément Tamines	a6cbb755a7	community[patch]: fix semantic answer bug in AzureSearch vector store (#18938 ) - Description: The `semantic_hybrid_search_with_score_and_rerank` method of `AzureSearch` contains a hardcoded field name "metadata" for the document metadata in the Azure AI Search Index. Adding such a field is optional when creating an Azure AI Search Index, as other snippets from `AzureSearch` test for the existence of this field before trying to access it. Furthermore, the metadata field name shouldn't be hardcoded as "metadata" and use the `FIELDS_METADATA` variable that defines this field name instead. In the current implementation, any index without a metadata field named "metadata" will yield an error if a semantic answer is returned by the search in `semantic_hybrid_search_with_score_and_rerank`. - Issue: https://github.com/langchain-ai/langchain/issues/18731 - Prior fix to this bug: This bug was fixed in this PR https://github.com/langchain-ai/langchain/pull/15642 by adding a check for the existence of the metadata field named `FIELDS_METADATA` and retrieving a value for the key called "key" in that metadata if it exists. If the field named `FIELDS_METADATA` was not present, an empty string was returned. This fix was removed in this PR https://github.com/langchain-ai/langchain/pull/15659 (see `ed1ffca911`#). @lz-chen: could you confirm this wasn't intentional? - New fix to this bug: I believe there was an oversight in the logic of the fix from [#1564](https://github.com/langchain-ai/langchain/pull/15642) which I explain below. The `semantic_hybrid_search_with_score_and_rerank` method creates a dictionary `semantic_answers_dict` with semantic answers returned by the search as follows. `5c2f7e6b2b/libs/community/langchain_community/vectorstores/azuresearch.py (L574-L581)` The keys in this dictionary are the unique document ids in the index, if I understand the [documentation of semantic answers](https://learn.microsoft.com/en-us/azure/search/semantic-answers) in Azure AI Search correctly. When the method transforms a search result into a `Document` object, an "answer" key is added to the document's metadata. The value for this "answer" key should be the semantic answer returned by the search from this document, if such an answer is returned. The match between a `Document` object and the semantic answers returned by the search should be done through the unique document id, which is used as a key for the `semantic_answers_dict` dictionary. This id is defined in the search result's field named `FIELDS_ID`. I added a check to avoid any error in case no field named `FIELDS_ID` exists in a search result (which shouldn't happen in theory). A benefit of this approach is that this fix should work whether or not the Azure AI Search Index contains a metadata field. @levalencia could you confirm my analysis and test the fix? @raunakshrivastava7 do you agree with the fix? Thanks for the help!	6 months ago
Anindyadeep	b2a11ce686	community[minor]: Prem AI langchain integration (#19113 ) ### Prem SDK integration in LangChain This PR adds the integration with [PremAI's](https://www.premai.io/) prem-sdk with langchain. User can now access to deployed models (llms/embeddings) and use it with langchain's ecosystem. This PR adds the following: ### This PR adds the following: - [x] Add chat support - [X] Adding embedding support - [X] writing integration tests - [X] writing tests for chat - [X] writing tests for embedding - [X] writing unit tests - [X] writing tests for chat - [X] writing tests for embedding - [X] Adding documentation - [X] writing documentation for chat - [X] writing documentation for embedding - [X] run `make test` - [X] run `make lint`, `make lint_diff` - [X] Final checks (spell check, lint, format and overall testing) --------- Co-authored-by: Anindyadeep Sannigrahi <anindyadeepsannigrahi@Anindyadeeps-MacBook-Pro.local> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Souhail Hanfi	cbec43afa9	community[patch]: avoid creating extension PGvector while using readOnly Databases (#19268 ) - Description: PgVector class always runs "create extension" on init and this statement crashes on ReadOnly databases (read only replicas). but wierdly the next create collection etc work even in readOnly databases - Dependencies: no new dependencies - Twitter handle: @VenOmaX666 Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Barun Amalkumar Halder	9246ec6b36	community[patch] : [Fiddler] ensure dataset is not added if model is present (#19293 ) Description: - minor PR to speed up onboarding by not trying to add a dataset, if a model is already present. - replace batch publish API with streaming when single events are published. Dependencies: any dependencies required for this change Twitter handle: behalder Co-authored-by: Barun Halder <barun@fiddler.ai>	6 months ago
JSDu	6e090280fd	community[patch]: milvus will autoflush, manual flush is slowly (#19300 ) reference: https://milvus.io/docs/configure_quota_limits.md#quotaAndLimitsflushRateenabled https://github.com/milvus-io/milvus/issues/31407 Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
mackong	e65dc4b95b	community[patch]: clean warning when delete by ids (#19301 ) * Description: rearrange to avoid variable overwrite, which cause warning always. * Issue: N/A * Dependencies: N/A	6 months ago
Stefano Mosconi	01fc69c191	community[patch]: expanding version in confluence loader (#19324 ) Description: Expanding version in all the Confluence API calls so to get when the page was last modified/created in all cases. Issue: #12812 Twitter handle: zzste	6 months ago
Dmitry Tyumentsev	08b769d539	community[patch]: YandexGPT Use recent yandexcloud sdk version (#19341 ) Fixed inability to work with [yandexcloud SDK](https://pypi.org/project/yandexcloud/) version higher 0.265.0	6 months ago
Marlene	f1313339ac	community[patch]: Fixing incorrect base URLs for Azure Cognitive Search Retriever (#19352 ) This PR adds code to make sure that the correct base URL is being created for the Azure Cognitive Search retriever. At the moment an incorrect base URL is being generated. I think this is happening because the original code was based on a depreciated API version. No dependencies need to be added. I've also added more context to the test doc strings. I should also note that ACS is now Azure AI Search. I will open a separate PR to make these changes as that would be a breaking change and should potentially be discussed. Twitter: @marlene_zw - No new tests added, however the current ACS retriever tests are now passing when I run them. - Code was linted. Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
FinTech秋田	03ba1d4731	community[patch]: Add Support for GPU Index Types in Milvus 2.4 (#19468 ) - Description: This commit introduces support for the newly available GPU index types introduced in Milvus 2.4 within the LangChain project's `milvus.py`. With the release of Milvus 2.4, a range of GPU-accelerated index types have been added, offering enhanced search capabilities and performance optimizations for vector search operations. This update ensures LangChain users can fully utilize the new performance benefits for vector search operations. - Reference: https://milvus.io/docs/gpu_index.md Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Ash Vardanian	d01bad5169	core[patch]: Convert SimSIMD back to NumPy (#19473 ) This patch fixes the #18022 issue, converting the SimSIMD internal zero-copy outputs to NumPy. I've also noticed, that oftentimes `dtype=np.float32` conversion is used before passing to SimSIMD. Which numeric types do LangChain users generally care about? We support `float64`, `float32`, `float16`, and `int8` for cosine distances and `float16` seems reasonable for practically any kind of embeddings and any modern piece of hardware, so we can change that part as well 🤗	6 months ago
Mikelarg	dac2e0165a	community[minor]: Added GigaChat Embeddings support + updated previous GigaChat integration (#19516 ) - Description: Added integration with [GigaChat](https://developers.sber.ru/portal/products/gigachat) embeddings. Also added support for extra fields in GigaChat LLM and fixed docs.	6 months ago
Martin Kolb	e5bdb26f76	community[patch]: More flexible handling for entity names in vector store "HANA Cloud" (#19523 ) - Description: Added support for lower-case and mixed-case names The names for tables and columns previouly had to be UPPER_CASE. With this enhancement, also lower_case and MixedCase are supported, - Issue: N/A - Dependencies: no new dependecies added - Twitter handle: @sapopensource	6 months ago
billytrend-cohere	63343b4987	cohere[patch]: add cohere as a partner package (#19049 ) Description: adds support for langchain_cohere --------- Co-authored-by: Harry M <127103098+harry-cohere@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	6 months ago
ccurme	82de8fd6c9	add kwargs (#19519 ) `HanaDB.add_texts` is missing **kwargs.	6 months ago
Nikhil Kumar	3d3b46a782	docs: Update docs for `HuggingFacePipeline` (#19306 ) Updated `HuggingFacePipeline` docs to be in sync with list of supported tasks, including translation. - [x] PR title: "community: Update docs for `HuggingFacePipeline`" - 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: - Description: Update docs for `HuggingFacePipeline`, was earlier missing `translation` as a valid task - Issue: N/A - Dependencies: N/A - Twitter handle: None - [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/	6 months ago
Igor Muniz Soares	743f888580	community[minor]: Dappier chat model integration (#19370 ) Description: This PR adds [Dappier](https://dappier.com/) for the chat model. It supports generate, async generate, and batch functionalities. We added unit and integration tests as well as a notebook with more details about our chat model. Dependencies: No extra dependencies are needed.	6 months ago
Hugoberry	96dc180883	community[minor]: Add `DuckDB` as a vectorstore (#18916 ) DuckDB has a cosine similarity function along list and array data types, which can be used as a vector store. - Description: The latest version of DuckDB features a cosine similarity function, which can be used with its support for list or array column types. This PR surfaces this functionality to langchain. - Dependencies: duckdb 0.10.0 - Twitter handle: @igocrite --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
preak95	6ea3e57a63	community[minor]: S3FileLoader to use expose mode and post_processors arguments of unstructured loader (#19270 ) Description: Update s3_file.py to use arguments mode and post_processors from the base class UnstructuredBaseLoader to include more metadata about the files from the S3 bucket such as 'page_number', 'languages' etc. Issue: NA Dependencies: None Twitter handle: preak95 --------- Co-authored-by: ccurme <chester.curme@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
fengjial	3b52ee05d1	community[patch]: fix bugs in baiduvectordb as vectorstore (#19380 ) fix small bugs in vectorstore/baiduvectordb	6 months ago
aditya thomas	515aab3312	community[patch]: invoke callback prior to yielding token (openai) (#19389 ) Description: Invoke callback prior to yielding token for BaseOpenAI & OpenAIChat Issue: [Callback for on_llm_new_token should be invoked before the token is yielded by the model #16913](https://github.com/langchain-ai/langchain/issues/16913) Dependencies: None	6 months ago
aditya thomas	49e932cd24	community[patch]: invoke callback prior to yielding token (fireworks) (#19388 ) Description: Invoke callback prior to yielding token for Fireworks Issue: [Callback for on_llm_new_token should be invoked before the token is yielded by the model #16913](https://github.com/langchain-ai/langchain/issues/16913) Dependencies: None	6 months ago
Tarun Jain	ef6d3d66d6	community[patch]: docarray requires hnsw installation (#19416 ) I have a small dataset, and I tried to use docarray: ``DocArrayHnswSearch ``. But when I execute, it returns: ```bash raise ImportError( ImportError: Could not import docarray python package. Please install it with `pip install "langchain[docarray]"`. ``` Instead of docarray it needs to be ```bash docarray[hnswlib] ``` Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
German Swan	d4dc98a9f9	community[patch]: RecursiveUrlLoader: add base_url option (#19421 ) RecursiveUrlLoader does not currently provide an option to set `base_url` other than the `url`, though it uses a function with such an option. For example, this causes it unable to parse the `https://python.langchain.com/docs`, as it returns the 404 page, and `https://python.langchain.com/docs/get_started/introduction` has no child routes to parse. `base_url` allows setting the `https://python.langchain.com/docs` to filter by, while the starting URL is anything inside, that contains relevant links to continue crawling. I understand that for this case, the docusaurus loader could be used, but it's a common issue with many websites. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
aditya thomas	4856a87261	community[patch]: invoke callback prior to yielding token (llama.cpp) (#19392 ) Description: Invoke callback prior to yielding token for llama.cpp Issue: [Callback for on_llm_new_token should be invoked before the token is yielded by the model #16913](https://github.com/langchain-ai/langchain/issues/16913) Dependencies: None	6 months ago
billytrend-cohere	f6bcd42421	community[patch]: Replace positional argument with text=text for cohere>=5 compatibility (#19407 ) - Description: Replace positional argument with text=text for cohere>=5 compatibility	6 months ago
Bagatur	b58b38769d	community[patch]: Release 0.0.29 (#19350 )	6 months ago
Yudhajit Sinha	7d216ad1e1	community[patch]: Invoke callback prior to yielding token (titan_takeoff_pro) (#18624 ) ## PR title community[patch]: Invoke callback prior to yielding token ## PR message - Description: Invoke callback prior to yielding token in _stream_ method in llms/titan_takeoff_pro. - Issue: #16913 - Dependencies: None	6 months ago
Yudhajit Sinha	455a74486b	community[patch]: Invoke callback prior to yielding token (sparkllm) (#18625 ) ## PR title community[patch]: Invoke callback prior to yielding token ## PR message - Description: Invoke callback prior to yielding token in _stream_ method in llms/sparkllm. - Issue: #16913 - Dependencies: None	6 months ago
Yudhajit Sinha	5ac1860484	community[patch]: Invoke callback prior to yielding token (replicate) (#18626 ) ## PR title community[patch]: Invoke callback prior to yielding token ## PR message - Description: Invoke callback prior to yielding token in _stream_ method in llms/replicate. - Issue: #16913 - Dependencies: None	6 months ago
Yudhajit Sinha	9525e392de	community[patch]: Invoke callback prior to yielding token (pai_eas_endpoint) (#18627 ) ## PR title community[patch]: Invoke callback prior to yielding token ## PR message - Description: Invoke callback prior to yielding token in _stream_ method in llms/pai_eas_endpoint. - Issue: #16913 - Dependencies: None	6 months ago
Yudhajit Sinha	140f06e59a	community[patch]: Invoke callback prior to yielding token (openai) (#18628 ) ## PR title community[patch]: Invoke callback prior to yielding token ## PR message - Description: Invoke callback prior to yielding token in _stream_ method in llms/openai. - Issue: #16913 - Dependencies: None	6 months ago
Yudhajit Sinha	280a914920	community[patch]: Invoke callback prior to yielding token (ollama) (#18629 ) ## PR title community[patch]: Invoke callback prior to yielding token ## PR message - Description: Invoke callback prior to yielding token in _stream_ & _astream_ methods in llms/ollama. - Issue: #16913 - Dependencies: None	6 months ago
Christophe Bornet	00614f332a	community[minor]: Add InMemoryVectorStore (#19326 ) This is a basic VectorStore implementation using an in-memory dict to store the documents. It doesn't need any extra/optional dependency as it uses numpy which is already a dependency of langchain. This is useful for quick testing, demos, examples. Also it allows to write vendor-neutral tutorials, guides, etc...	6 months ago
Nithish Raghunandanan	7ad0a3f2a7	community: add Couchbase Vector Store (#18994 ) - Description: Added support for Couchbase Vector Search to LangChain. - Dependencies: couchbase>=4.1.12 - Twitter handle: @nithishr --------- Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com>	6 months ago
Christophe Bornet	30e4a35d7a	community: Use langchain-astradb for AstraDB caches (#18419 ) - [x] Needs https://github.com/langchain-ai/langchain-datastax/pull/4 - [x] Needs a new release of langchain-astradb	6 months ago
Vittorio Rigamonti	9b2f9ee952	community: VectorStore Infinispan, adding autoconfiguration (#18967 ) Description: this PR enable VectorStore autoconfiguration for Infinispan: if metadatas are only of basic types, protobuf config will be automatically generated for the user.	6 months ago
gonvee	b82644078e	community: Add `keep_alive` parameter to control how long the model w… (#19005 ) Add `keep_alive` parameter to control how long the model will stay loaded into memory with Ollama。 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Harrison Chase	efcdf54edd	Josha91 fix docstring (#19249 ) Co-authored-by: Josha van Houdt <josha.van.houdt@sap.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Taqi Jaffri	044bc22acc	Community: Add mistral oss model support to azureml endpoints, plus configurable timeout (#19123 ) - Description: There was no formatter for mistral models for Azure ML endpoints. Adding that, plus a configurable timeout (it was hard coded before) - Dependencies: none - Twitter handle: @tjaffri @docugami	6 months ago
Hamza Muhammad Farooqi	24a0a4472a	Add docstrings for Clickhouse class methods (#19195 ) 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. - [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.	6 months ago
Rohit Gupta	785f8ab174	[langchain_community] milvus vectorstores upsert: add kwargs to make it use for other argument also (#19193 ) add kwargs in add_documents for upsert, to make it use for other argument also. Lets use this, it was unused as of now. - [ ] 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: Rohit Gupta <rohit.gupta2@walmart.com>	6 months ago
Guangdong Liu	c3310c5e7f	community: Fix Milvus got multiple values for keyword argument 'timeout' (#19232 ) - Description: Fix Milvus got multiple values for keyword argument 'timeout' - Issue: fix #18580 - @baskaryan @eyurtsev PTAL	6 months ago
Leonid Ganeline	7de1d9acfd	community: `llms` imports fixes (#18943 ) Classes are missed in __all__ and in different places of __init__.py - BaichuanLLM - ChatDatabricks - ChatMlflow - Llamafile - Mlflow - Together Added classes to __all__. I also sorted __all__ list. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	6 months ago
Kenzie Mihardja	21f75991d4	deprecate community docugami loader (#19230 ) Thank you for contributing to LangChain! - [x] PR title: "community: deprecate DocugamiLoader" - [x] PR message: Deprecate the langchain_community and use the docugami_langchain DocugamiLoader --------- Co-authored-by: Kenzie Mihardja <kenzie28@cs.washington.edu>	6 months ago
Pengfei Jiang	514fe80778	community[patch]: add stop parameter support to volcengine maas (#19052 ) - Description: add stop parameter to volcengine maas model - Dependencies: no --------- Co-authored-by: 江鹏飞 <jiangpengfei.jiangpf@bytedance.com>	6 months ago
htaoruan	bcc771e37c	docs: ChatTongyi example error (#19013 )	6 months ago
primate88	5aa68936e0	community: Fix import path for StreamingStdOutCallbackHandler example (#19170 ) - Description: - Updated the import path for `StreamingStdOutCallbackHandler` in the streaming response example within `huggingface_endpoint.py`. This change corrects the import statement to reflect the actual location of `StreamingStdOutCallbackHandler` in `langchain_core.callbacks.streaming_stdout`. - Issue: - None - Dependencies: - No additional dependencies are required for this change. - Twitter handle: - None ## Note: I have tested this change locally and confirmed that the `StreamingStdOutCallbackHandler` works as expected with the updated import path. This PR does not require the addition of new tests since it is a correction to documentation/examples rather than functional code.	6 months ago
Nikhil Kumar	635b3372bd	community[minor]: Add support for translation in HuggingFacePipeline (#19190 ) - [x] Support for translation: "community: Add support for translation in `HuggingFacePipeline`" - [x] Add support for translation in `HuggingFacePipeline`: - Description: Add support for translation in `HuggingFacePipeline`, which earlier used to support only text summarization and generation. - Issue: N/A - Dependencies: N/A - Twitter handle: None	6 months ago
k.muto	8d2c34e655	community: Fix all page numbers were the same for _BaseGoogleVertexAISearchRetriever (#19175 ) - Description: - This pull request is to fix a bug where page numbers were not set correctly. In the current code, all chunks share the same metadata object doc_metadata, so the page number is set with the same value for all documents. To fix this, I changed to using separate metadata objects for each chunk. - Issue: - None - Dependencies: - No additional dependencies are required for this change. - Twitter handle: - @eycjur - Test - Even if it's not a bug, there are cases where everything ends up with the same number of pages, so it's very difficult for me to write integration tests.	6 months ago
Cailin Wang	7cd87d2f6a	community: Add `partition` parameter to DashVector (#19023 ) Description: DashVector Add partition parameter Twitter handle: @CailinWang_ --------- Co-authored-by: root <root@Bluedot-AI>	6 months ago
Rodrigo Nogueira	e64cf1aba4	community: Add model argument for maritalk models and better error handling (#19187 )	6 months ago
Sergey Kozlov	1a55e950aa	community[patch]: support fastembed v1 and v2 (#19125 ) Description: #18040 forces `fastembed>2.0`, and this causes dependency conflicts with the new `unstructured` package (different `onnxruntime`). There may be other dependency conflicts.. The only way to use `langchain-community>=0.0.28` is rollback to `unstructured 0.10.X`. But new `unstructured` contains many fixes. This PR allows to use both `fastembed` `v1` and `v2`. How to reproduce: `pyproject.toml`: ```toml [tool.poetry] name = "depstest" version = "0.0.0" description = "test" authors = ["<dev@example.org>"] [tool.poetry.dependencies] python = ">=3.10,<3.12" langchain-community = "^0.0.28" fastembed = "^0.2.0" unstructured = {extras = ["pdf"], version = "^0.12"} ``` ```bash $ poetry lock ``` Co-authored-by: Sergey Kozlov <sergey.kozlov@ludditelabs.io>	6 months ago
高远	ef9813dae6	docs: add vikingdb docstrings(#19016 ) Co-authored-by: gaoyuan <gaoyuan.20001218@bytedance.com>	6 months ago
wulixuan	0e0030f494	community[patch]: fix yuan2 chat model errors while invoke. (#19015 ) 1. fix yuan2 chat model errors while invoke. 2. update related tests. 3. fix some deprecationWarning.	6 months ago
Shuai Liu	c244e1a50b	community[patch]: Fixed bug in merging `generation_info` during chunk concatenation in Tongyi and ChatTongyi (#19014 ) - Description: In #16218 , during the `GenerationChunk` and `ChatGenerationChunk` concatenation, the `generation_info` merging changed from simple keys & values replacement to using the util method [`merge_dicts`](https://github.com/langchain-ai/langchain/blob/master/libs/core/langchain_core/utils/_merge.py): ![image](https://github.com/langchain-ai/langchain/assets/2098020/10f315bf-7fe0-43a7-a0ce-6a3834b99a15) The `merge_dicts` method could not handle merging values of `int` or some other types, and would raise a [`TypeError`](https://github.com/langchain-ai/langchain/blob/master/libs/core/langchain_core/utils/_merge.py#L55). This PR fixes this issue in the Tongyi and ChatTongyi Model by adopting the `generation_info` of the last chunk and discarding the `generation_info` of the intermediate chunks, ensuring that `stream` and `astream` function correctly. - Issue: - Related issues or PRs about Tongyi & ChatTongyi: #16605, #17105 - Other models or cases: #18441, #17376 - Dependencies: No new dependencies	6 months ago
Christophe Bornet	f2a7dda4bd	community[patch]: Use langchain-astradb for AstraDB doc loader (#19071 ) Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Holt Skinner	cee03630d9	community[patch]: Add Blended Search Support to `GoogleVertexAISearchRetriever` (#19082 ) https://cloud.google.com/generative-ai-app-builder/docs/create-data-store-es#multi-data-stores --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
case-k	ebc4a64f9e	docs: fix databricks document url (#19096 ) Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Guangdong Liu	cced3eb9bc	community[patch]: Fix sparkllm embeddings api bug. (#19122 ) - Description: Fix sparkllm embeddings api bug. @baskaryan PTAL	6 months ago
kaijietti	c20aeef79a	community[patch]: implement qdrant _aembed_query and use it in other async funcs (#19155 ) `amax_marginal_relevance_search ` and `asimilarity_search_with_score ` should use an async version of `_embed_query `.	6 months ago
Barun Amalkumar Halder	34d6f0557d	community[patch] : publishes duration as milliseconds to Fiddler (#19166 ) Description: Many LLM steps complete in sub-second duration, which can lead to non-collection of duration field for Fiddler. This PR updates duration from seconds to milliseconds. Issue: [INTERNAL] FDL-17568 Dependencies: NA Twitter handle: behalder Co-authored-by: Barun Halder <barun@fiddler.ai>	6 months ago

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