714 Commits (9b70131aed02221866b2590e787a0e0703e1aad7)

Author	SHA1	Message	Date
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