421 Commits (bccc9241ea1d3b4478ea672ee2b2cb991de1e18e)

Author	SHA1	Message	Date
Quang Hoa	54c1fb3f25	community[patch]: Make some functions work with Milvus (#10695) ... **Description** Make some functions work with Milvus: 1. get_ids: Get primary keys by field in the metadata 2. delete: Delete one or more entities by ids 3. upsert: Update/Insert one or more entities **Issue** None **Dependencies** None **Tag maintainer:** @hwchase17 **Twitter handle:** None --------- Co-authored-by: HoaNQ9 <hoanq.1811@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
kYLe	c9999557bf	community[patch]: Modify LLMs/Anyscale work with OpenAI API v1 (#14206) ... <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> - **Description:** 1. Modify LLMs/Anyscale to work with OAI v1 2. Get rid of openai_ prefixed variables in Chat_model/ChatAnyscale 3. Modify `anyscale_api_base` to `anyscale_base_url` to follow OAI name convention (reverted) --------- Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
Charlie Marsh	24c0bab57b	infra, multiple: Upgrade configuration for Ruff v0.2.0 (#16905) ... ## Summary This PR upgrades LangChain's Ruff configuration in preparation for Ruff's v0.2.0 release. (The changes are compatible with Ruff v0.1.5, which LangChain uses today.) Specifically, we're now warning when linter-only options are specified under `[tool.ruff]` instead of `[tool.ruff.lint]`. --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Leonid Ganeline	932c52c333	community[patch]: docstrings (#16810) ... - added missed docstrings - formated docstrings to the consistent form	8 months ago
Kononov Pavel	15bc201967	langchain_community: Fix typo bug (#17324) ... Problem from #17095 This error wasn't in the v1.4.0	8 months ago
Bagatur	65e97c9b53	infra: mv SQLDatabase tests to community (#17276)	8 months ago
Bagatur	02ef9164b5	langchain[patch]: expose cohere rerank score, add parent doc param (#16887)	8 months ago
Bagatur	35c1bf339d	infra: rm boto3, gcaip from pyproject (#17270)	8 months ago
Alex	de5e96b5f9	community[patch]: updated openai prices in mapping (#17009) ... - **Description:** there are january prices update for chatgpt [blog](https://openai.com/blog/new-embedding-models-and-api-updates), also there are updates on their website on page [pricing](https://openai.com/pricing) - **Issue:** N/A --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Armin Stepanyan	641efcf41c	community: add runtime kwargs to HuggingFacePipeline (#17005) ... This PR enables changing the behaviour of huggingface pipeline between different calls. For example, before this PR there's no way of changing maximum generation length between different invocations of the chain. This is desirable in cases, such as when we want to scale the maximum output size depending on a dynamic prompt size. Usage example: ```python from langchain_community.llms.huggingface_pipeline import HuggingFacePipeline from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline model_id = "gpt2" tokenizer = AutoTokenizer.from_pretrained(model_id) model = AutoModelForCausalLM.from_pretrained(model_id) pipe = pipeline("text-generation", model=model, tokenizer=tokenizer) hf = HuggingFacePipeline(pipeline=pipe) hf("Say foo:", pipeline_kwargs={"max_new_tokens": 42}) ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Scott Nath	a32798abd7	community: Add you.com utility, update you retriever integration docs (#17014) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> - **Description: changes to you.com files** - general cleanup - adds community/utilities/you.py, moving bulk of code from retriever -> utility - removes `snippet` as endpoint - adds `news` as endpoint - adds more tests <s>**Description: update community MAKE file** - adds `integration_tests` - adds `coverage`</s> - **Issue:** the issue # it fixes if applicable, - [For New Contributors: Update Integration Documentation](https://github.com/langchain-ai/langchain/issues/15664#issuecomment-1920099868) - **Dependencies:** n/a - **Twitter handle:** @scottnath - **Mastodon handle:** scottnath@mastodon.social --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Liang Zhang	7306600e2f	community[patch]: Support SerDe transform functions in Databricks LLM (#16752) ... **Description:** Databricks LLM does not support SerDe the transform_input_fn and transform_output_fn. After saving and loading, the LLM will be broken. This PR serialize these functions into a hex string using pickle, and saving the hex string in the yaml file. Using pickle to serialize a function can be flaky, but this is a simple workaround that unblocks many use cases. If more sophisticated SerDe is needed, we can improve it later. Test: Added a simple unit test. I did manual test on Databricks and it works well. The saved yaml looks like: ``` llm: _type: databricks cluster_driver_port: null cluster_id: null databricks_uri: databricks endpoint_name: databricks-mixtral-8x7b-instruct extra_params: {} host: e2-dogfood.staging.cloud.databricks.com max_tokens: null model_kwargs: null n: 1 stop: null task: null temperature: 0.0 transform_input_fn: 80049520000000000000008c085f5f6d61696e5f5f948c0f7472616e73666f726d5f696e7075749493942e transform_output_fn: null ``` @baskaryan ```python from langchain_community.embeddings import DatabricksEmbeddings from langchain_community.llms import Databricks from langchain.chains import RetrievalQA from langchain.document_loaders import TextLoader from langchain.text_splitter import CharacterTextSplitter from langchain.vectorstores import FAISS import mlflow embeddings = DatabricksEmbeddings(endpoint="databricks-bge-large-en") def transform_input(**request): request["messages"] = [ { "role": "user", "content": request["prompt"] } ] del request["prompt"] return request llm = Databricks(endpoint_name="databricks-mixtral-8x7b-instruct", transform_input_fn=transform_input) persist_dir = "faiss_databricks_embedding" # Create the vector db, persist the db to a local fs folder loader = TextLoader("state_of_the_union.txt") documents = loader.load() text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0) docs = text_splitter.split_documents(documents) db = FAISS.from_documents(docs, embeddings) db.save_local(persist_dir) def load_retriever(persist_directory): embeddings = DatabricksEmbeddings(endpoint="databricks-bge-large-en") vectorstore = FAISS.load_local(persist_directory, embeddings) return vectorstore.as_retriever() retriever = load_retriever(persist_dir) retrievalQA = RetrievalQA.from_llm(llm=llm, retriever=retriever) with mlflow.start_run() as run: logged_model = mlflow.langchain.log_model( retrievalQA, artifact_path="retrieval_qa", loader_fn=load_retriever, persist_dir=persist_dir, ) # Load the retrievalQA chain loaded_model = mlflow.pyfunc.load_model(logged_model.model_uri) print(loaded_model.predict([{"query": "What did the president say about Ketanji Brown Jackson"}])) ```	8 months ago
cjpark-data	ce22e10c4b	community[patch]: Fix KeyError 'embedding' (MongoDBAtlasVectorSearch) (#17178) ... - **Description:** Embedding field name was hard-coded named "embedding". So I suggest that change `res["embedding"]` into `res[self._embedding_key]`. - **Issue:** #17177, - **Twitter handle:** [@bagcheoljun17](https://twitter.com/bagcheoljun17)	8 months ago
Neli Hateva	9bb5157a3d	langchain[patch], community[patch]: Fixes in the Ontotext GraphDB Graph and QA Chain (#17239) ... - **Description:** Fixes in the Ontotext GraphDB Graph and QA Chain related to the error handling in case of invalid SPARQL queries, for which `prepareQuery` doesn't throw an exception, but the server returns 400 and the query is indeed invalid - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** @OntotextGraphDB	8 months ago
ByeongUk Choi	b88329e9a5	community[patch]: Implement Unique ID Enforcement in FAISS (#17244) ... **Description:** Implemented unique ID validation in the FAISS component to ensure all document IDs are distinct. This update resolves issues related to non-unique IDs, such as inconsistent behavior during deletion processes.	8 months ago
Bassem Yacoube	4e3ed7f043	community[patch]: octoai embeddings bug fix (#17216) ... fixes a bug in octoa_embeddings provider	8 months ago
Eugene Yurtsev	780e84ae79	community[minor]: SQLDatabase Add fetch mode `cursor`, query parameters, query by selectable, expose execution options, and documentation (#17191) ... - **Description:** Improve `SQLDatabase` adapter component to promote code re-use, see [suggestion](https://github.com/langchain-ai/langchain/pull/16246#pullrequestreview-1846590962). - **Needed by:** GH-16246 - **Addressed to:** @baskaryan, @cbornet ## Details - Add `cursor` fetch mode - Accept SQL query parameters - Accept both `str` and SQLAlchemy selectables as query expression - Expose `execution_options` - Documentation page (notebook) about `SQLDatabase` [^1] See [About SQLDatabase](https://github.com/langchain-ai/langchain/blob/c1c7b763/docs/docs/integrations/tools/sql_database.ipynb). [^1]: Apparently there hasn't been any yet? --------- Co-authored-by: Andreas Motl <andreas.motl@crate.io>	8 months ago
Tomaz Bratanic	7e4b676d53	community[patch]: Better error propagation for neo4jgraph (#17190) ... There are other errors that could happen when refreshing the schema, so we want to propagate specific errors for more clarity	8 months ago
Luiz Ferreira	34d2daffb3	community[patch]: Fix chat openai unit test (#17124) ... - **Description:** Actually the test named `test_openai_apredict` isn't testing the apredict method from ChatOpenAI. - **Twitter handle:** https://twitter.com/OAlmofadas	8 months ago
Dmitry Kankalovich	f92738a6f6	langchain[minor], community[minor], core[minor]: Async Cache support and AsyncRedisCache (#15817) ... * This PR adds async methods to the LLM cache. * Adds an implementation using Redis called AsyncRedisCache. * Adds a docker compose file at the /docker to help spin up docker * Updates redis tests to use a context manager so flushing always happens by default	8 months ago
Bagatur	6f1403b9b6	community[patch]: Release 0.0.19 (#17207) ... Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
Bagatur	af74301ab9	core[patch], community[patch]: link extraction continue on failure (#17200)	8 months ago
Erick Friis	22b6a03a28	infra: read min versions (#17135)	8 months ago
Bagatur	226f376d59	community[patch]: Release 0.0.18 (#17129) ... Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
Frank	ef082c77b1	community[minor]: add github file loader to load any github file content b… (#15305) ... ### Description support load any github file content based on file extension. Why not use [git loader](https://python.langchain.com/docs/integrations/document_loaders/git#load-existing-repository-from-disk) ? git loader clones the whole repo even only interested part of files, that's too heavy. This GithubFileLoader only downloads that you are interested files. ### Twitter handle my twitter: @shufanhaotop --------- Co-authored-by: Hao Fan <h_fan@apple.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Ryan Kraus	f027696b5f	community: Added new Utility runnables for NVIDIA Riva. (#15966) ... **Please tag this issue with `nvidia_genai`** - **Description:** Added new Runnables for integration NVIDIA Riva into LCEL chains for Automatic Speech Recognition (ASR) and Text To Speech (TTS). - **Issue:** N/A - **Dependencies:** To use these runnables, the NVIDIA Riva client libraries are required. It they are not installed, an error will be raised instructing how to install them. The Runnables can be safely imported without the riva client libraries. - **Twitter handle:** N/A All of the Riva Runnables are inside a single folder in the Utilities module. In this folder are four files: - common.py - Contains all code that is common to both TTS and ASR - stream.py - Contains a class representing an audio stream that allows the end user to put data into the stream like a queue. - asr.py - Contains the RivaASR runnable - tts.py - Contains the RivaTTS runnable The following Python function is an example of creating a chain that makes use of both of these Runnables: ```python def create( config: Configuration, audio_encoding: RivaAudioEncoding, sample_rate: int, audio_channels: int = 1, ) -> Runnable[ASRInputType, TTSOutputType]: """Create a new instance of the chain.""" _LOGGER.info("Instantiating the chain.") # create the riva asr client riva_asr = RivaASR( url=str(config.riva_asr.service.url), ssl_cert=config.riva_asr.service.ssl_cert, encoding=audio_encoding, audio_channel_count=audio_channels, sample_rate_hertz=sample_rate, profanity_filter=config.riva_asr.profanity_filter, enable_automatic_punctuation=config.riva_asr.enable_automatic_punctuation, language_code=config.riva_asr.language_code, ) # create the prompt template prompt = PromptTemplate.from_template("{user_input}") # model = ChatOpenAI() model = ChatNVIDIA(model="mixtral_8x7b") # type: ignore # create the riva tts client riva_tts = RivaTTS( url=str(config.riva_asr.service.url), ssl_cert=config.riva_asr.service.ssl_cert, output_directory=config.riva_tts.output_directory, language_code=config.riva_tts.language_code, voice_name=config.riva_tts.voice_name, ) # construct and return the chain return {"user_input": riva_asr} | prompt | model | riva_tts # type: ignore ``` The following code is an example of creating a new audio stream for Riva: ```python input_stream = AudioStream(maxsize=1000) # Send bytes into the stream for chunk in audio_chunks: await input_stream.aput(chunk) input_stream.close() ``` The following code is an example of how to execute the chain with RivaASR and RivaTTS ```python output_stream = asyncio.Queue() while not input_stream.complete: async for chunk in chain.astream(input_stream): output_stream.put(chunk) ``` Everything should be async safe and thread safe. Audio data can be put into the input stream while the chain is running without interruptions. --------- Co-authored-by: Hayden Wolff <hwolff@nvidia.com> Co-authored-by: Hayden Wolff <hwolff@Haydens-Laptop.local> Co-authored-by: Hayden Wolff <haydenwolff99@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
François Paupier	929f071513	community[patch]: Fix error in `LlamaCpp` community LLM with Configurable Fields, 'grammar' custom type not available (#16995) ... - **Description:** Ensure the `LlamaGrammar` custom type is always available when instantiating a `LlamaCpp` LLM - **Issue:** #16994 - **Dependencies:** None - **Twitter handle:** @fpaupier --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Scott Nath	10bd901139	infra: add integration_tests and coverage to MAKEFILE (#17053) ... - **Description: update community MAKE file** - adds `integration_tests` - adds `coverage` - **Issue:** the issue # it fixes if applicable, - moving out of https://github.com/langchain-ai/langchain/pull/17014 - **Dependencies:** n/a - **Twitter handle:** @scottnath - **Mastodon handle:** scottnath@mastodon.social --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Bagatur	6e2ed9671f	infra: fix breebs test lint (#17075)	8 months ago
Alex Boury	334b6ebdf3	community[minor]: Breebs docs retriever (#16578) ... - **Description:** Implementation of breeb retriever with integration tests -> libs/community/tests/integration_tests/retrievers/test_breebs.py and documentation (notebook) -> docs/docs/integrations/retrievers/breebs.ipynb. - **Dependencies:** None	8 months ago
Serena Ruan	9b279ac127	community[patch]: MLflow callback update (#16687) ... Signed-off-by: Serena Ruan <serena.rxy@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Mohammad Mohtashim	3c4b24b69a	community[patch]: Fix the _call of HuggingFaceHub (#16891) ... Fixed the following identified issue: #16849 @baskaryan	8 months ago
Tyler Titsworth	304f3f5fc1	community[patch]: Add Progress bar to HuggingFaceEmbeddings (#16758) ... - **Description:** Adds a function parameter to HuggingFaceEmbeddings called `show_progress` that enables a `tqdm` progress bar if enabled. Does not function if `multi_process = True`. - **Issue:** n/a - **Dependencies:** n/a	8 months ago
Supreet Takkar	ae33979813	community[patch]: Allow adding ARNs as model_id to support Amazon Bedrock custom models (#16800) ... - **Description:** Adds an additional class variable to `BedrockBase` called `provider` that allows sending a model provider such as amazon, cohere, ai21, etc. Up until now, the model provider is extracted from the `model_id` using the first part before the `.`, such as `amazon` for `amazon.titan-text-express-v1` (see [supported list of Bedrock model IDs here](https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids-arns.html)). But for custom Bedrock models where the ARN of the provisioned throughput must be supplied, the `model_id` is like `arn:aws:bedrock:...` so the `model_id` cannot be extracted from this. A model `provider` is required by the LangChain Bedrock class to perform model-based processing. To allow the same processing to be performed for custom-models of a specific base model type, passing this `provider` argument can help solve the issues. The alternative considered here was the use of `provider.arn:aws:bedrock:...` which then requires ARN to be extracted and passed separately when invoking the model. The proposed solution here is simpler and also does not cause issues for current models already using the Bedrock class. - **Issue:** N/A - **Dependencies:** N/A --------- Co-authored-by: Piyush Jain <piyushjain@duck.com>	8 months ago
Bagatur	66e45e8ab7	community[patch]: chat model mypy fixes (#17061) ... Related to #17048	8 months ago
Bagatur	d93de71d08	community[patch]: chat message history mypy fixes (#17059) ... Related to #17048	8 months ago
Bagatur	af5ae24af2	community[patch]: callbacks mypy fixes (#17058) ... Related to #17048	8 months ago
Bagatur	e7b3290d30	community[patch]: fix agent_toolkits mypy (#17050) ... Related to #17048	8 months ago
Erick Friis	6ffd5b15bc	pinecone: init pkg (#16556) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	8 months ago
Harrison Chase	4eda647fdd	infra: add -p to mkdir in lint steps (#17013) ... Previously, if this did not find a mypy cache then it wouldnt run this makes it always run adding mypy ignore comments with existing uncaught issues to unblock other prs --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	8 months ago
Christophe Bornet	2ef69fe11b	Add async methods to BaseChatMessageHistory and BaseMemory (#16728) ... Adds: * async methods to BaseChatMessageHistory * async methods to ChatMessageHistory * async methods to BaseMemory * async methods to BaseChatMemory * async methods to ConversationBufferMemory * tests of ConversationBufferMemory's async methods **Twitter handle:** cbornet_	8 months ago
Killinsun - Ryota Takeuchi	bcfce146d8	community[patch]: Correct the calling to collection_name in qdrant (#16920) ... ## Description In #16608, the calling `collection_name` was wrong. I made a fix for it. Sorry for the inconvenience! ## Issue https://github.com/langchain-ai/langchain/issues/16962 ## Dependencies N/A <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Kumar Shivendu <kshivendu1@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Erick Friis	b1a847366c	community: revert SQL Stores (#16912) ... This reverts commit cfc225ecb3. https://github.com/langchain-ai/langchain/pull/15909#issuecomment-1922418097 These will have existed in langchain-community 0.0.16 and 0.0.17.	8 months ago
Leonid Ganeline	c2ca6612fe	refactor `langchain.prompts.example_selector` (#15369) ... The `langchain.prompts.example_selector` [still holds several artifacts](https://api.python.langchain.com/en/latest/langchain_api_reference.html#module-langchain.prompts) that belongs to `community`. If they moved to `langchain_community.example_selectors`, the `langchain.prompts` namespace would be effectively removed which is great. - moved a class and afunction to `langchain_community` Note: - Previously, the `langchain.prompts.example_selector` artifacts were moved into the `langchain_core.exampe_selectors`. See the flattened namespace (`.prompts` was removed)! Similar flattening was implemented for the `langchain_core` as the `langchain_core.exampe_selectors`. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
Christophe Bornet	9d458d089a	community: Factorize AstraDB components constructors (#16779) ... * Adds `AstraDBEnvironment` class and use it in `AstraDBLoader`, `AstraDBCache`, `AstraDBSemanticCache`, `AstraDBBaseStore` and `AstraDBChatMessageHistory` * Create an `AsyncAstraDB` if we only have an `AstraDB` and vice-versa so: * we always have an instance of `AstraDB` * we always have an instance of `AsyncAstraDB` for recent versions of astrapy * Create collection if not exists in `AstraDBBaseStore` * Some typing improvements Note: `AstraDB` `VectorStore` not using `AstraDBEnvironment` at the moment. This will be done after the `langchain-astradb` package is out.	8 months ago
Bagatur	2b4abed25c	commmunity[patch]: Release 0.0.17 (#16871)	8 months ago
Christophe Bornet	af8c5c185b	langchain[minor],community[minor]: Add async methods in BaseLoader (#16634) ... Adds: * methods `aload()` and `alazy_load()` to interface `BaseLoader` * implementation for class `MergedDataLoader ` * support for class `BaseLoader` in async function `aindex()` with unit tests Note: this is compatible with existing `aload()` methods that some loaders already had. **Twitter handle:** @cbornet_ --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	8 months ago
Raphael	bf9068516e	community[minor]: add the ability to load existing transcripts from AssemblyAI by their id. (#16051) ... - **Description:** the existing AssemblyAI API allows to pass a path or an url to transcribe an audio file and turn in into Langchain Documents, this PR allows to get existing transcript by their transcript id and turn them into Documents. - **Issue:** not related to an existing issue - **Dependencies:** requests --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Bagatur	daf820c77b	community[patch]: undo create_sql_agent breaking (#16797)	8 months ago
Bagatur	b0347f3e2b	docs: add csv use case (#16756)	8 months ago
Alexander Conway	4acd2654a3	Report which file was errored on in DirectoryLoader (#16790) ... The current implementation leaves it up to the particular file loader implementation to report the file on which an error was encountered - in my case pdfminer was simply saying it could not parse a file as a PDF, but I didn't know which of my hundreds of files it was failing on. No reason not to log the particular item on which an error was encountered, and it should be an immense debugging assistant. <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	8 months ago
Bob Lin	546b757303	community: Add ChatGLM3 (#15265) ... Add [ChatGLM3](https://github.com/THUDM/ChatGLM3) and updated [chatglm.ipynb](https://python.langchain.com/docs/integrations/llms/chatglm) --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Marina Pliusnina	a1ce7ab672	adding parameter for changing the language in SpacyEmbeddings (#15743) ... Description: Added the parameter for a possibility to change a language model in SpacyEmbeddings. The default value is still the same: "en_core_web_sm", so it shouldn't affect a code which previously did not specify this parameter, but it is not hard-coded anymore and easy to change in case you want to use it with other languages or models. Issue: At Barcelona Supercomputing Center in Aina project (https://github.com/projecte-aina), a project for Catalan Language Models and Resources, we would like to use Langchain for one of our current projects and we would like to comment that Langchain, while being a very powerful and useful open-source tool, is pretty much focused on English language. We would like to contribute to make it a bit more adaptable for using with other languages. Dependencies: This change requires the Spacy library and a language model, specified in the model parameter. Tag maintainer: @dev2049 Twitter handle: @projecte_aina --------- Co-authored-by: Marina Pliusnina <marina.pliusnina@bsc.es> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Christophe Bornet	744070ee85	Add async methods for the AstraDB VectorStore (#16391) ... - **Description**: fully async versions are available for astrapy 0.7+. For older astrapy versions or if the user provides a sync client without an async one, the async methods will call the sync ones wrapped in `run_in_executor` - **Twitter handle:** cbornet_	8 months ago
baichuan-assistant	f8f2649f12	community: Add Baichuan LLM to community (#16724) ... Replace this entire comment with: - **Description:** Add Baichuan LLM to integration/llm, also updated related docs. Co-authored-by: BaiChuanHelper <wintergyc@WinterGYCs-MacBook-Pro.local>	8 months ago
thiswillbeyourgithub	1d082359ee	community: add support for callable filters in FAISS (#16190) ... - **Description:** Filtering in a FAISS vectorstores is very inflexible and doesn't allow that many use case. I think supporting callable like this enables a lot: regular expressions, condition on multiple keys etc. **Note** I had to manually alter a test. I don't understand if it was falty to begin with or if there is something funky going on. - **Issue:** None - **Dependencies:** None - **Twitter handle:** None Signed-off-by: thiswillbeyourgithub <26625900+thiswillbeyourgithub@users.noreply.github.com>	8 months ago
Killinsun - Ryota Takeuchi	52f4ad8216	community: Add new fields in metadata for qdrant vector store (#16608) ... ## Description The PR is to return the ID and collection name from qdrant client to metadata field in `Document` class. ## Issue The motivation is almost same to [11592](https://github.com/langchain-ai/langchain/issues/11592) Returning ID is useful to update existing records in a vector store, but we cannot know them if we use some retrievers. In order to avoid any conflicts, breaking changes, the new fields in metadata have a prefix `_` ## Dependencies N/A ## Twitter handle @kill_in_sun <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	8 months ago
hulitaitai	32cad38ec6	<langchain_community\llms\chatglm.py>: <Correcting "history"> (#16729) ... Use the real "history" provided by the original program instead of putting "None" in the history. - **Description:** I change one line in the code to make it return the "history" of the chat model. - **Issue:** At the moment it returns only the answers of the chat model. However the chat model himself provides a history more complet with the questions of the user. - **Dependencies:** no dependencies required for this change,	8 months ago
Bassem Yacoube	85e93e05ed	community[minor]: Update OctoAI LLM, Embedding and documentation (#16710) ... This PR includes updates for OctoAI integrations: - The LLM class was updated to fix a bug that occurs with multiple sequential calls - The Embedding class was updated to support the new GTE-Large endpoint released on OctoAI lately - The documentation jupyter notebook was updated to reflect using the new LLM sdk Thank you!	8 months ago
Volodymyr Machula	32c5be8b73	community[minor]: Connery Tool and Toolkit (#14506) ... ## Summary This PR implements the "Connery Action Tool" and "Connery Toolkit". Using them, you can integrate Connery actions into your LangChain agents and chains. Connery is an open-source plugin infrastructure for AI. With Connery, you can easily create a custom plugin with a set of actions and seamlessly integrate them into your LangChain agents and chains. Connery will handle the rest: runtime, authorization, secret management, access management, audit logs, and other vital features. Additionally, Connery and our community offer a wide range of ready-to-use open-source plugins for your convenience. Learn more about Connery: - GitHub: https://github.com/connery-io/connery-platform - Documentation: https://docs.connery.io - Twitter: https://twitter.com/connery_io ## TODOs - [x] API wrapper - [x] Integration tests - [x] Connery Action Tool - [x] Docs - [x] Example - [x] Integration tests - [x] Connery Toolkit - [x] Docs - [x] Example - [x] Formatting (`make format`) - [x] Linting (`make lint`) - [x] Testing (`make test`)	8 months ago
Harrison Chase	8457c31c04	community[patch]: activeloop ai tql deprecation (#14634) ... Co-authored-by: AdkSarsen <adilkhan@activeloop.ai>	8 months ago
Neli Hateva	c95facc293	langchain[minor], community[minor]: Implement Ontotext GraphDB QA Chain (#16019) ... - **Description:** Implement Ontotext GraphDB QA Chain - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** @OntotextGraphDB	8 months ago
Elliot	39eb00d304	community[patch]: Adapt more parameters related to MemorySearchPayload for the search method of ZepChatMessageHistory (#15441) ... - **Description:** To adapt more parameters related to MemorySearchPayload for the search method of ZepChatMessageHistory, - **Issue:** None, - **Dependencies:** None, - **Twitter handle:** None	8 months ago
Jael Gu	a1aa3a657c	community[patch]: Milvus supports add & delete texts by ids (#16256) ... # Description To support [langchain indexing](https://python.langchain.com/docs/modules/data_connection/indexing) as requested by users, vectorstore Milvus needs to support: - document addition by id (`add_documents` method with `ids` argument) - delete by id (`delete` method with `ids` argument) Example usage: ```python from langchain.indexes import SQLRecordManager, index from langchain.schema import Document from langchain_community.vectorstores import Milvus from langchain_openai import OpenAIEmbeddings collection_name = "test_index" embedding = OpenAIEmbeddings() vectorstore = Milvus(embedding_function=embedding, collection_name=collection_name) namespace = f"milvus/{collection_name}" record_manager = SQLRecordManager( namespace, db_url="sqlite:///record_manager_cache.sql" ) record_manager.create_schema() doc1 = Document(page_content="kitty", metadata={"source": "kitty.txt"}) doc2 = Document(page_content="doggy", metadata={"source": "doggy.txt"}) index( [doc1, doc1, doc2], record_manager, vectorstore, cleanup="incremental", # None, "incremental", or "full" source_id_key="source", ) ``` # Fix issues Fix https://github.com/milvus-io/milvus/issues/30112 --------- Signed-off-by: Jael Gu <mengjia.gu@zilliz.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Michard Hugo	e9d3527b79	community[patch]: Add missing async similarity_distance_threshold handling in RedisVectorStoreRetriever (#16359) ... Add missing async similarity_distance_threshold handling in RedisVectorStoreRetriever - **Description:** added method `_aget_relevant_documents` to `RedisVectorStoreRetriever` that overrides parent method to add support of `similarity_distance_threshold` in async mode (as for sync mode) - **Issue:** #16099 - **Dependencies:** N/A - **Twitter handle:** N/A	8 months ago
Anthony Bernabeu	2db79ab111	community[patch]: Implement TTL for DynamoDBChatMessageHistory (#15478) ... - **Description:** Implement TTL for DynamoDBChatMessageHistory, - **Issue:** see #15477, - **Dependencies:** N/A, --------- Co-authored-by: Piyush Jain <piyushjain@duck.com>	8 months ago
taimo	d3d9244fee	langchain-community: fix unicode escaping issue with SlackToolkit (#16616) ... - **Description:** fix unicode escaping issue with SlackToolkit - **Issue:** #16610	8 months ago
Benito Geordie	f3fdc5c5da	community: Added integrations for ThirdAI's NeuralDB with Retriever and VectorStore frameworks (#15280) ... **Description:** Adds ThirdAI NeuralDB retriever and vectorstore integration. NeuralDB is a CPU-friendly and fine-tunable text retrieval engine.	8 months ago
Pashva Mehta	22d90800c8	community: Fixed schema discrepancy in from_texts function for weaviate vectorstore (#16693) ... * Description: Fixed schema discrepancy in **from_texts** function for weaviate vectorstore which created a redundant property "key" inside a class. * Issue: Fixed: https://github.com/langchain-ai/langchain/issues/16692 * Twitter handle: @pashvamehta1	8 months ago
Daniel Erenrich	0600998f38	community: Wikidata tool support (#16691) ... - **Description:** Adds Wikidata support to langchain. Can read out documents from Wikidata. - **Issue:** N/A - **Dependencies:** Adds implicit dependencies for `wikibase-rest-api-client` (for turning items into docs) and `mediawikiapi` (for hitting the search endpoint) - **Twitter handle:** @derenrich You can see an example of this tool used in a chain [here](https://nbviewer.org/urls/d.erenrich.net/upload/Wikidata_Langchain.ipynb) or [here](https://nbviewer.org/urls/d.erenrich.net/upload/Wikidata_Lars_Kai_Hansen.ipynb) <!-- Thank you for contributing to LangChain! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	8 months ago
Christophe Bornet	2e3af04080	Use Postponed Evaluation of Annotations in Astra and Cassandra doc loaders (#16694) ... Minor/cosmetic change	8 months ago
Christophe Bornet	36e432672a	community[minor]: Add async methods to AstraDBLoader (#16652)	8 months ago
Rashedul Hasan Rijul	481493dbce	community[patch]: apply embedding functions during query if defined (#16646) ... **Description:** This update ensures that the user-defined embedding function specified during vector store creation is applied during queries. Previously, even if a custom embedding function was defined at the time of store creation, Bagel DB would default to using the standard embedding function during query execution. This pull request addresses this issue by consistently using the user-defined embedding function for queries if one has been specified earlier.	8 months ago
Serena Ruan	f01fb47597	community[patch]: MLflowCallbackHandler -- Move textstat and spacy as optional dependency (#16657) ... Signed-off-by: Serena Ruan <serena.rxy@gmail.com>	8 months ago
Zhuoyun(John) Xu	508bde7f40	community[patch]: Ollama - Pass headers to post request in async method (#16660) ... # Description A previous PR (https://github.com/langchain-ai/langchain/pull/15881) added option to pass headers to ollama endpoint, but headers are not pass to the async method.	8 months ago
João Carlos Ferra de Almeida	3e87b67a3c	community[patch]: Add Cookie Support to Fetch Method (#16673) ... - **Description:** This change allows the `_fetch` method in the `WebBaseLoader` class to utilize cookies from an existing `requests.Session`. It ensures that when the `fetch` method is used, any cookies in the provided session are included in the request. This enhancement maintains compatibility with existing functionality while extending the utility of the `fetch` method for scenarios where cookie persistence is necessary. - **Issue:** Not applicable (new feature), - **Dependencies:** Requires `aiohttp` and `requests` libraries (no new dependencies introduced), - **Twitter handle:** N/A Co-authored-by: Joao Almeida <joao.almeida@mercedes-benz.io>	8 months ago
Harrison Chase	27665e3546	[community] fix anthropic streaming (#16682)	8 months ago
Christophe Bornet	4915c3cd86	[Fix] Fix Cassandra Document loader default page content mapper (#16273) ... We can't use `json.dumps` by default as many types returned by the cassandra driver are not serializable. It's safer to use `str` and let users define their own custom `page_content_mapper` if needed.	8 months ago
Pasha	4e189cd89a	community[patch]: youtube loader transcript format (#16625) ... - **Description**: YoutubeLoader right now returns one document that contains the entire transcript. I think it would be useful to add an option to return multiple documents, where each document would contain one line of transcript with the start time and duration in the metadata. For example, [AssemblyAIAudioTranscriptLoader](https://github.com/langchain-ai/langchain/blob/master/libs/community/langchain_community/document_loaders/assemblyai.py) is implemented in a similar way, it allows you to choose between the format to use for the document loader.	8 months ago
yin1991	a936472512	docs: Update documentation to use 'model_id' rather than 'model_name' to match actual API (#16615) ... - **Description:** Replace 'model_name' with 'model_id' for accuracy - **Issue:** [link-to-issue](https://github.com/langchain-ai/langchain/issues/16577) - **Dependencies:** - **Twitter handle:**	8 months ago
Micah Parker	6543e585a5	community[patch]: Added support for Ollama's num_predict option in ChatOllama (#16633) ... Just a simple default addition to the options payload for a ollama generate call to support a max_new_tokens parameter. Should fix issue: https://github.com/langchain-ai/langchain/issues/14715	8 months ago
baichuan-assistant	70ff54eace	community[minor]: Add Baichuan Text Embedding Model and Baichuan Inc introduction (#16568) ... - **Description:** Adding Baichuan Text Embedding Model and Baichuan Inc introduction. Baichuan Text Embedding ranks #1 in C-MTEB leaderboard: https://huggingface.co/spaces/mteb/leaderboard Co-authored-by: BaiChuanHelper <wintergyc@WinterGYCs-MacBook-Pro.local>	8 months ago
Ghani	e30c6662df	Langchain-community : EdenAI chat integration. (#16377) ... - **Description:** This PR adds [EdenAI](https://edenai.co/) for the chat model (already available in LLM & Embeddings). It supports all [ChatModel] functionality: generate, async generate, stream, astream and batch. A detailed notebook was added. - **Dependencies**: No dependencies are added as we call a rest API. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	8 months ago
Jatin Chawda	a79345f199	community[patch]: Fixed tool names snake_case (#16397) ... #16396 Fixed 1. golden_query 2. google_lens 3. memorize 4. merriam_webster 5. open_weather_map 6. pub_med 7. stack_exchange 8. generate_image 9. wikipedia	8 months ago
Bagatur	61e876aad8	openai[patch]: Explicitly support embedding dimensions (#16596)	8 months ago
Bagatur	5df8ab574e	infra: move indexing documentation test (#16595)	8 months ago
Bagatur	61b200947f	community[patch]: Release 0.0.16 (#16591)	8 months ago
Bagatur	ef42d9d559	core[patch], community[patch], openai[patch]: consolidate openai tool… (#16485) ... … converters One way to convert anything to an OAI function: convert_to_openai_function One way to convert anything to an OAI tool: convert_to_openai_tool Corresponding bind functions on OAI models: bind_functions, bind_tools	8 months ago
Brian Burgin	148347e858	community[minor]: Add LiteLLM Router Integration (#15588) ... community: - **Description:** - Add new ChatLiteLLMRouter class that allows a client to use a LiteLLM Router as a LangChain chat model. - Note: The existing ChatLiteLLM integration did not cover the LiteLLM Router class. - Add tests and Jupyter notebook. - **Issue:** None - **Dependencies:** Relies on existing ChatLiteLLM integration - **Twitter handle:** @bburgin_0 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Dmitry Tyumentsev	e86e66bad7	community[patch]: YandexGPT models - add sleep_interval (#16566) ... Added sleep between requests to prevent errors associated with simultaneous requests.	8 months ago
Erick Friis	adc008407e	exa: init pkg (#16553)	8 months ago
Rave Harpaz	c4e9c9ca29	community[minor]: Add OCI Generative AI integration (#16548) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** Adding Oracle Cloud Infrastructure Generative AI integration. Oracle Cloud Infrastructure (OCI) Generative AI is a fully managed service that provides a set of state-of-the-art, customizable large language models (LLMs) that cover a wide range of use cases, and which is available through a single API. Using the OCI Generative AI service you can access ready-to-use pretrained models, or create and host your own fine-tuned custom models based on your own data on dedicated AI clusters. https://docs.oracle.com/en-us/iaas/Content/generative-ai/home.htm - **Issue:** None, - **Dependencies:** OCI Python SDK, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. Passed See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. we provide unit tests. However, we cannot provide integration tests due to Oracle policies that prohibit public sharing of api keys.   If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Arthur Cheng <arthur.cheng@oracle.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Harel Gal	a91181fe6d	community[minor]: add support for Guardrails for Amazon Bedrock (#15099) ... Added support for optionally supplying 'Guardrails for Amazon Bedrock' on both types of model invocations (batch/regular and streaming) and for all models supported by the Amazon Bedrock service. @baskaryan @hwchase17 ```python llm = Bedrock(model_id="<model_id>", client=bedrock, model_kwargs={}, guardrails={"id": " <guardrail_id>", "version": "<guardrail_version>", "trace": True}, callbacks=[BedrockAsyncCallbackHandler()]) class BedrockAsyncCallbackHandler(AsyncCallbackHandler): """Async callback handler that can be used to handle callbacks from langchain.""" async def on_llm_error( self, error: BaseException, **kwargs: Any, ) -> Any: reason = kwargs.get("reason") if reason == "GUARDRAIL_INTERVENED": # kwargs contains additional trace information sent by 'Guardrails for Bedrock' service. print(f"""Guardrails: {kwargs}""") # streaming llm = Bedrock(model_id="<model_id>", client=bedrock, model_kwargs={}, streaming=True, guardrails={"id": "<guardrail_id>", "version": "<guardrail_version>"}) ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Martin Kolb	04651f0248	community[minor]: VectorStore integration for SAP HANA Cloud Vector Engine (#16514) ... - **Description:** This PR adds a VectorStore integration for SAP HANA Cloud Vector Engine, which is an upcoming feature in the SAP HANA Cloud database (https://blogs.sap.com/2023/11/02/sap-hana-clouds-vector-engine-announcement/). - **Issue:** N/A - **Dependencies:** [SAP HANA Python Client](https://pypi.org/project/hdbcli/) - **Twitter handle:** @sapopensource Implementation of the integration: `libs/community/langchain_community/vectorstores/hanavector.py` Unit tests: `libs/community/tests/unit_tests/vectorstores/test_hanavector.py` Integration tests: `libs/community/tests/integration_tests/vectorstores/test_hanavector.py` Example notebook: `docs/docs/integrations/vectorstores/hanavector.ipynb` Access credentials for execution of the integration tests can be provided to the maintainers. --------- Co-authored-by: sascha <sascha.stoll@sap.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Unai Garay Maestre	fdbfa6b2c8	Adds progress bar to VertexAIEmbeddings (#14542) ... - **Description:** Adds progress bar to VertexAIEmbeddings - **Issue:** related issue https://github.com/langchain-ai/langchain/issues/13637 Signed-off-by: ugm2 <unaigaraymaestre@gmail.com> --------- Signed-off-by: ugm2 <unaigaraymaestre@gmail.com>	8 months ago
Jeremi Joslin	9e95699277	community[patch]: Fix error message when litellm is not installed (#16316) ... The error message was mentioning the wrong package. I updated it to the correct one.	8 months ago
bachr	b3ed98dec0	community[patch]: avoid KeyError when language not in LANGUAGE_SEGMENTERS (#15212) ... **Description:** Handle unsupported languages in same way as when none is provided **Issue:** The following line will throw a KeyError if the language is not supported. ```python self.Segmenter = LANGUAGE_SEGMENTERS[language] ``` E.g. when using `Language.CPP` we would get `KeyError: <Language.CPP: 'cpp'>` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
chyroc	61da2ff24c	community[patch]: use SecretStr for yandex model secrets (#15463)	8 months ago
Alessio Serra	d628a80a5d	community[patch]: added 'conversational' as a valid task for hugginface endopoint models (#15761) ... - **Description:** added the conversational task to hugginFace endpoint in order to use models designed for chatbot programming. - **Dependencies:** None --------- Co-authored-by: Alessio Serra (ext.) <alessio.serra@partner.bmw.de> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Karim Lalani	4c7755778d	community[patch]: SurrealDB fix for asyncio (#16092) ... Code fix for asyncio	8 months ago