langchain

Commit Graph

Author	SHA1	Message	Date
Aashish Saini	33781ac4a2	Update sequential_chains.mdx (#64 ) (#10793 ) Fixed some more grammatical issues @baskaryan Co-authored-by: ManpreetShorthillsAI <142380984+ManpreetShorthillsAI@users.noreply.github.com> Co-authored-by: Aashish Saini <141953346+AashishSainiShorthillsAI@users.noreply.github.com> Co-authored-by: AryamanJaiswalShorthillsAI <142397527+AryamanJaiswalShorthillsAI@users.noreply.github.com> Co-authored-by: Adarsh Shrivastav <142413097+AdarshKumarShorthillsAI@users.noreply.github.com> Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com> Co-authored-by: ChetnaGuptaShorthillsAI <142381084+ChetnaGuptaShorthillsAI@users.noreply.github.com> Co-authored-by: PankajKumarShorthillsAI <142473460+PankajKumarShorthillsAI@users.noreply.github.com> Co-authored-by: AbhishekYadavShorthillsAI <142393903+AbhishekYadavShorthillsAI@users.noreply.github.com> Co-authored-by: AmitSinghShorthillsAI <142410046+AmitSinghShorthillsAI@users.noreply.github.com> Co-authored-by: Md Nazish Arman <142379599+MdNazishArmanShorthillsAI@users.noreply.github.com> Co-authored-by: KamalSharmaShorthillsAI <142474019+KamalSharmaShorthillsAI@users.noreply.github.com> Co-authored-by: Lakshya <lakshyagupta87@yahoo.com> Co-authored-by: Aayush <142384656+AayushShorthillsAI@users.noreply.github.com> Co-authored-by: AnujMauryaShorthillsAI <142393269+AnujMauryaShorthillsAI@users.noreply.github.com> Co-authored-by: Saransh Sharma <142397365+SaranshSharmaShorthillsAI@users.noreply.github.com> Co-authored-by: GhayurHamzaShorthillsAI <136243850+GhayurHamzaShorthillsAI@users.noreply.github.com> Co-authored-by: Puneet Dhiman <142409038+PuneetDhimanShorthillsAI@users.noreply.github.com> Co-authored-by: Riya Rana <142411643+RiyaRanaShorthillsAI@users.noreply.github.com>	12 months ago
Douglas Monsky	d5f1969d55	Introducing Enhanced Functionality to WeaviateHybridSearchRetriever: Accepting Additional Keyword Arguments (#10802 ) Description: This commit enriches the `WeaviateHybridSearchRetriever` class by introducing a new parameter, `hybrid_search_kwargs`, within the `_get_relevant_documents` method. This parameter accommodates arbitrary keyword arguments (`kwargs`) which can be channeled to the inherited public method, `get_relevant_documents`, originating from the `BaseRetriever` class. This modification facilitates more intricate querying capabilities, allowing users to convey supplementary arguments to the `.with_hybrid()` method. This expansion not only makes it possible to perform a more nuanced search targeting specific properties but also grants the ability to boost the weight of searched properties, to carry out a search with a custom vector, and to apply the Fusion ranking method. The documentation has been updated accordingly to delineate these new possibilities in detail. In light of the layered approach in which this search operates, initiating with `query.get()` and then transitioning to `.with_hybrid()`, several advantageous opportunities are unlocked for the hybrid component that were previously unattainable. Here’s a representative example showcasing a query structure that was formerly unfeasible: [Specific Properties Only](https://weaviate.io/developers/weaviate/search/hybrid#selected-properties-only) "The example below illustrates a BM25 search targeting the keyword 'food' exclusively within the 'question' property, integrated with vector search results corresponding to 'food'." ```python response = ( client.query .get("JeopardyQuestion", ["question", "answer"]) .with_hybrid( query="food", properties=["question"], # Will now be possible moving forward alpha=0.25 ) .with_limit(3) .do() ) ``` This functionality is now accessible through my alterations, by conveying `hybrid_search_kwargs={"properties": ["question", "answer"]}` as an argument to `WeaviateHybridSearchRetriever.get_relevant_documents()`. For example: ```python import os from weaviate import Client from langchain.retrievers import WeaviateHybridSearchRetriever client = Client( url=os.getenv("WEAVIATE_CLIENT_URL"), additional_headers={ "X-OpenAI-Api-Key": os.getenv("OPENAI_API_KEY"), "Authorization": f"Bearer {os.getenv('WEAVIATE_API_KEY')}", }, ) index_name = "Document" text_key = "content" attributes = ["title", "summary", "header", "url"] retriever = ExtendedWeaviateHybridSearchRetriever( client=client, index_name=index_name, text_key=text_key, attributes=attributes, ) # Warning: to utilize properties in this way, each use property must also be in the list `attributes + [text_key]`. hybrid_search_kwargs = {"properties": ["summary^2", "content"]} query_text = "Some Query Text" relevant_docs = retriever.get_relevant_documents( query=query_text, hybrid_search_kwargs=hybrid_search_kwargs ) ``` In my experience working with the `weaviate-client` library, I have found that these supplementary options stand as vital tools for refining/finetuning searches, notably within multifaceted datasets. As a final note, this implementation supports both backwards and forward (within reason) compatiblity. It accommodates any future additional parameters Weaviate may add to `.with_hybrid()`, without necessitating further alterations. Additional Documentation: For a more comprehensive understanding and to explore a myriad of useful options that are now accessible, please refer to the Weaviate documentation: - [Fusion Ranking Method](https://weaviate.io/developers/weaviate/search/hybrid#fusion-ranking-method) - [Selected Properties Only](https://weaviate.io/developers/weaviate/search/hybrid#selected-properties-only) - [Weight Boost Searched Properties](https://weaviate.io/developers/weaviate/search/hybrid#weight-boost-searched-properties) - [With a Custom Vector](https://weaviate.io/developers/weaviate/search/hybrid#with-a-custom-vector) Tag Maintainer:** @hwchase17 - I have tagged you based on your frequent contributions to the pertinent file, `/retrievers/weaviate_hybrid_search.py`. My apologies if this was not the appropriate choice. Thank you for considering my contribution, I look forward to your feedback, and to future collaboration.	12 months ago
Jacob Lee	61cecf8b1b	Fix for versioned OpenAI instruct models (#10788 ) Versioned OpenAI instruct models may end with numbers, e.g. `gpt-3.5-turbo-instruct-0914`. Fixes https://github.com/langchain-ai/langchainjs/issues/2669 in Python	12 months ago
Bagatur	73afd72e1d	fix qa structured link (#10799 ) redirect not working for some reason	12 months ago
Cory Zue	62603f2664	make auto-setting the encodings optional, alow explicitly setting it (#10774 ) I was trying to use web loaders on some spanish documentation (e.g. [this site](https://www.fromdoppler.com/es/mailing-tendencias/), but the auto-encoding introduced in https://github.com/langchain-ai/langchain/pull/3602 was detected as "MacRoman" instead of the (correct) "UTF-8". To address this, I've added the ability to disable the auto-encoding, as well as the ability to explicitly tell the loader what encoding to use. - Description: Makes auto-setting the encoding optional in `WebBaseLoader`, and introduces an `encoding` option to explicitly set it. - Dependencies: N/A - Tag maintainer: @hwchase17 - Twitter handle: @czue	12 months ago
Harrison Chase	c68be4eb2b	tool rendering (#10786 )	12 months ago
Aashish Saini	1b050b98f5	Corrected some spelling mistakes and grammatical errors (#10791 ) Corrected some spelling mistakes and grammatical errors CC: @baskaryan, @eyurtsev, @hwchase17. --------- Co-authored-by: Ishita Chauhan <136303787+IshitaChauhanShortHillsAI@users.noreply.github.com> Co-authored-by: Aashish Saini <141953346+AashishSainiShorthillsAI@users.noreply.github.com> Co-authored-by: ManpreetShorthillsAI <142380984+ManpreetShorthillsAI@users.noreply.github.com> Co-authored-by: AryamanJaiswalShorthillsAI <142397527+AryamanJaiswalShorthillsAI@users.noreply.github.com> Co-authored-by: Adarsh Shrivastav <142413097+AdarshKumarShorthillsAI@users.noreply.github.com> Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com> Co-authored-by: ChetnaGuptaShorthillsAI <142381084+ChetnaGuptaShorthillsAI@users.noreply.github.com> Co-authored-by: PankajKumarShorthillsAI <142473460+PankajKumarShorthillsAI@users.noreply.github.com> Co-authored-by: AbhishekYadavShorthillsAI <142393903+AbhishekYadavShorthillsAI@users.noreply.github.com> Co-authored-by: AmitSinghShorthillsAI <142410046+AmitSinghShorthillsAI@users.noreply.github.com> Co-authored-by: Md Nazish Arman <142379599+MdNazishArmanShorthillsAI@users.noreply.github.com> Co-authored-by: KamalSharmaShorthillsAI <142474019+KamalSharmaShorthillsAI@users.noreply.github.com> Co-authored-by: Lakshya <lakshyagupta87@yahoo.com> Co-authored-by: Aayush <142384656+AayushShorthillsAI@users.noreply.github.com> Co-authored-by: AnujMauryaShorthillsAI <142393269+AnujMauryaShorthillsAI@users.noreply.github.com> Co-authored-by: ishita <chauhanishita5356@gmail.com>	12 months ago
Ahmad Bunni	5272e42b0d	Add namespace to pinecone hybrid search (#10677 ) Description: Pinecone hybrid search is now limited to default namespace. There is no option for the user to provide a namespace to partition an index, which is one of the most important features of pinecone. Resource: https://docs.pinecone.io/docs/namespaces --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Raunak Chowdhuri	b338e492fc	Remembrall Integration (#10767 ) - Description: Added integration instructions for Remembrall. - Tag maintainer: @hwchase17 - Twitter handle: @raunakdoesdev Fun fact, this project originated at the Modal Hackathon in NYC where it won the Best LLM App prize sponsored by Langchain. Thanks for your support 🦜	1 year ago
Bagatur	0d1550da91	Bagatur/bump 295 (#10785 )	1 year ago
Aashish Saini	6a98974bd0	Update argilla.ipynb with spelling fix (#10611 ) Fixed spelling of responses and removed extra "the"	1 year ago
Vikram Shitole	a4e858b111	Sagemaker endpoint capability to inject boto3 client for cross account scenarios (#10728 ) - Description: Allow to inject boto3 client for Cross account access type of scenarios in using Sagemaker Endpoint - Issue:#10634 #10184 - Dependencies: None - Tag maintainer: - Twitter handle:lethargicoder Co-authored-by: Vikram(VS) <vssht@amazon.com>	1 year ago
William FH	c8f386db97	Merge metadata + tags in config (#10762 ) Think these should be a merge/update rather than overwrite	1 year ago
Jacob Lee	71025013f8	Update routing cookbook to include a RunnableBranch example (#10754 ) ~~Because we can't pass extra parameters into a prompt, we have to prepend a function before the runnable calls in the branch and it's a bit less elegant than I'd like.~~ All good now that #10765 has landed! @eyurtsev @hwchase17 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
BarberAlec	c898a4d7ba	Update ContextCallbackHandler Docstring & metadata key (#10732 ) - Description: Updating URL in Context Callback Docstrings and update metadata key Context CallbackHandler uses to send model names. - Issue: The URL in ContextCallbackHandler is out of date. Model data being sent to Context should be under the "model" key and not "llm_model". This allows Context to do more sophisticated analysis. - Dependencies: None Tagging @agamble.	1 year ago
Taqi Jaffri	54763a61f8	fix broken link in docugami loader docs (#10753 ) Just fixing the link to the self query retriever in docugami loader docs Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>	1 year ago
Harrison Chase	8b68d1a03b	keep reference to old embeddings base (#10759 )	1 year ago
Jacob Lee	babf46692d	Allow extra variables when invoking prompt templates (#10765 ) Makes chaining easier as many maps have extra properties. @baskaryan @hwchase17	1 year ago
Bagatur	8515e27d82	bump 294 (#10751 )	1 year ago
Jacob Lee	579d14fbc1	Allow 3.5-turbo instruct models in the OpenAI LLM class (#10750 ) @baskaryan @hwchase17	1 year ago
Bagatur	4c80978ec6	mv data bricks sql page (#10748 )	1 year ago
Harrison Chase	e404fd39dd	add anthropic page (#10666 )	1 year ago
Bagatur	5072138893	bump 293 (#10740 )	1 year ago
Harrison Chase	12ff780089	move embeddings to schema (#10696 )	1 year ago
Jiayi Ni	ce61840e3b	ENH: Add `llm_kwargs` for Xinference LLMs (#10354 ) - This pr adds `llm_kwargs` to the initialization of Xinference LLMs (integrated in #8171 ). - With this enhancement, users can not only provide `generate_configs` when calling the llms for generation but also during the initialization process. This allows users to include custom configurations when utilizing LangChain features like LLMChain. - It also fixes some format issues for the docstrings.	1 year ago
Eugene Yurtsev	1eefb9052b	RunnableBranch (#10594 ) Runnable Branch implementation, no optimization for streaming logic yet	1 year ago
William FH	287c81db89	Catch Base Exception (#10607 ) Currently the on_*_error isn't called for CancellationError's. This is because in python 3.8, the inheritance changed from Exception to BaseException https://docs.python.org/3/library/asyncio-exceptions.html#asyncio.CancelledError	1 year ago
Philippe PRADOS	39c1c94272	Fix typing in WebResearchRetriver (#10734 ) Hello @hwchase17 Issue: The class WebResearchRetriever accept only RecursiveCharacterTextSplitter, but never uses a specification of this class. I propose to change the type to TextSplitter. Then, the lint can accept all subtypes.	1 year ago
Nuno Campos	8201cae770	Bug fixes for runnables (#10738 ) - tools invoked in async methods would not work due to missing await - RunnableSequence.stream() was creating an extra root run by mistake, and it can simplified due to existence of default implementation for .transform() <!-- 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/hwchase17/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. -->	1 year ago
William FH	6e48092746	Update LangSmith Version (#10722 ) And assign dataset ID upon project creation	1 year ago
Bagatur	d21a494a27	mention how-to in LCEL index (#10727 )	1 year ago
William FH	a3e5507faa	Make eval output parsers more robust (#10658 ) Ran through a few hundred generations with some models to fix up the parsers	1 year ago
Bagatur	3992c1ae9b	runnable bind how to nit (#10718 )	1 year ago
Bagatur	c3e52ba8ab	Runnable fallbacks howto (#10717 )	1 year ago
Bagatur	441a5c2b30	Runnable binding how to (#10716 )	1 year ago
Bagatur	4a7da3ce3b	add runnable map how to (#10715 )	1 year ago
Nino Risteski	d0070040da	Update CONTRIBUTING.md (#10700 ) fiixed few typos	1 year ago
Bagatur	8371a8a0c6	Mv LCEL routing doc (#10713 ) Move to how-to	1 year ago
Bagatur	5fda838346	Docs intro nit (#10712 )	1 year ago
Bagatur	f9561fd7c5	docs intro nit (#10711 )	1 year ago
William FH	c5078fb13c	Add support for showing IO to chain group (#10510 ) As well as error propagation	1 year ago
Harrison Chase	2c957de2fc	add checks on basic base modules (#10693 )	1 year ago
Harrison Chase	5442d2b1fa	Harrison/stop importing from init (#10690 )	1 year ago
Hedeer El Showk	9749f8ebae	database -> db in from_llm (#10667 ) Description: Renamed argument `database` in `SQLDatabaseSequentialChain.from_llm()` to `db`, I realize it's tiny and a bit of a nitpick but for consistency with SQLDatabaseChain (and all the others actually) I thought it should be renamed. Also got me while working and using it today. ✔️ Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally.	1 year ago
Joshua Sundance Bailey	c4e591a57d	OpenAI function calling docstring and notebook imports (#10663 ) This PR is a documentation fix. Description: * fixes imports in the code samples in the docstrings of `create_openai_fn_chain` and `create_structured_output_chain` * fixes imports in `docs/extras/modules/chains/how_to/openai_functions.ipynb` * removes unused imports from the notebook Issues: * the docstrings use `from pydantic_v1 import BaseModel, Field` which this PR changes to `from langchain.pydantic_v1 import BaseModel, Field` * importing `pydantic` instead of `langchain.pydantic_v1` leads to errors later in the notebook	1 year ago
xleven	6f36bc6d38	add WeChat chat loader notebook (#10672 ) Like [DiscordChatLoader](https://python.langchain.com/docs/integrations/chat_loaders/discord) (as mentioned in #9708), this notebook is a demonstration of WeChatChatLoader based on copy-pasting WeChat messages dump.	1 year ago
Nino Risteski	91f1af0a93	Update community.md (#10676 ) fixed typos	1 year ago
Harrison Chase	a5ca0ca6e7	update quickstart to use lcel (#10687 )	1 year ago
Harrison Chase	bdd9fe4066	docs refresh intro (#10683 )	1 year ago
Nuno Campos	9cd131a178	Support kwargs in RunnableWithFallbacks (#10682 ) <!-- 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/hwchase17/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. -->	1 year ago

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