langchain

Commit Graph

Author	SHA1	Message	Date
William FH	9c5eca92e4	Update notebook deps (#11053 )	12 months ago
William FH	448426a6ac	Add collab link (#11052 )	12 months ago
William FH	4aec587979	Update LangSmith Walkthrough (#11043 )	12 months ago
Tomaz Bratanic	0625ab7a9e	Filtering graph schema for Cypher generation (#10577 ) Sometimes you don't want the LLM to be aware of the whole graph schema, and want it to ignore parts of the graph when it is constructing Cypher statements.	12 months ago
Palau	89ef440c14	Kay retriever (#10657 ) - Description: Adding retrievers for [kay.ai](https://kay.ai) and SEC filings powered by Kay and Cybersyn. Kay provides context as a service: it's an API built for RAG. - Issue: N/A - Dependencies: Just added a dep to the [kay](https://pypi.org/project/kay/) package - Tag maintainer: @baskaryan @hwchase17 Discussed in slack - Twtter handle: [@vishalrohra_](https://twitter.com/vishalrohra_) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	12 months ago
Harrison Chase	5f13668fa0	Harrison/move vectorstore base (#11030 )	12 months ago
Bagatur	3eb79580c2	fix langsmith link in docs (#11027 )	12 months ago
Jacob Lee	6d072e97c8	Adds GA to docs (#11022 ) CC @baskaryan	12 months ago
Taqi Jaffri	b7290f01d8	Batching for hf_pipeline (#10795 ) The huggingface pipeline in langchain (used for locally hosted models) does not support batching. If you send in a batch of prompts, it just processes them serially using the base implementation of _generate: https://github.com/docugami/langchain/blob/master/libs/langchain/langchain/llms/base.py#L1004C2-L1004C29 This PR adds support for batching in this pipeline, so that GPUs can be fully saturated. I updated the accompanying notebook to show GPU batch inference. --------- Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>	12 months ago
Massimiliano Pronesti	4322b246aa	docs: add vLLM chat notebook (#10993 ) This PR aims at showcasing how to use vLLM's OpenAI-compatible chat API. ### Context Lanchain already supports vLLM and its OpenAI-compatible `Completion` API. However, the `ChatCompletion` API was not aligned with OpenAI and for this reason I've waited for this [PR](https://github.com/vllm-project/vllm/pull/852) to be merged before adding this notebook to langchain.	12 months ago
Anar	ff732e10f8	LLMRails Embedding (#10959 ) LLMRails Embedding Integration This PR provides integration with LLMRails. Implemented here are: langchain/embeddings/llm_rails.py docs/extras/integrations/text_embedding/llm_rails.ipynb Hi @hwchase17 after adding our vectorstore integration to langchain with confirmation of you and @baskaryan, now we want to add our embedding integration --------- Co-authored-by: Anar Aliyev <aaliyev@mgmt.cloudnet.services> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Michael Feil	94e31647bd	Support for Gradient.ai embedding (#10968 ) Adds support for gradient.ai's embedding model. This will remain a Draft, as the code will likely be refactored with the `pip install gradientai` python sdk.	1 year ago
Bagatur	5fd13c22ad	redirect mrkl (#10979 )	1 year ago
Bagatur	6f781902ae	vercel fix (#10951 )	1 year ago
Bagatur	f0408c347f	llm feat table revision (#10947 )	1 year ago
Harrison Chase	9062e36722	Harrison/agents structured (#10911 )	1 year ago
Bagatur	281a332784	table fix (#10944 )	1 year ago
Bagatur	5336d87c15	update feat table (#10939 )	1 year ago
Greg Richardson	4eee789dd3	Docs: Using SupabaseVectorStore with existing documents (#10907 ) ## Description Adds additional docs on how to use `SupabaseVectorStore` with existing data in your DB (vs inserting new documents each time).	1 year ago
Bagatur	cab55e9bc1	add vertex prod features (#10910 ) - chat vertex async - vertex stream - vertex full generation info - vertex use server-side stopping - model garden async - update docs for all the above in follow up will add [] chat vertex full generation info [] chat vertex retries [] scheduled tests	1 year ago
Bagatur	dccc20b402	add model feat table (#10921 )	1 year ago
Harrison Chase	bb3e6cb427	lcel benefits (#10898 )	1 year ago
Maksym Diabin	697efd9757	JSONLoader Documentation Fix (#10505 ) - Description: Updated JSONLoader usage documentation which was making it unusable - Issue: JSONLoader if used with the documented arguments was failing on various JSON documents. - Dependencies: no dependencies - Twitter handle: @TheSlnArchitect	1 year ago
Harrison Chase	a1ade48e8f	update agent docs (#10894 )	1 year ago
Stefano Lottini	40e836c67e	added Cassandra caches to the llm_caching notebook doc (#10889 ) This adds a section on usage of `CassandraCache` and `CassandraSemanticCache` to the doc notebook about caching LLMs, as suggested in [this comment](https://github.com/langchain-ai/langchain/pull/9772/#issuecomment-1710544100) on a previous merged PR. I also spotted what looks like a mismatch between different executions and propose a fix (line 98). Being the result of several runs, the cell execution numbers are scrambled somewhat, so I volunteer to refine this PR by (manually) re-numbering the cells to restore the appearance of a single, smooth running (for the sake of orderly execution :)	1 year ago
Matvey Arye	6e02c45ca4	Add integration for Timescale Vector(Postgres) (#10650 ) Description: This commit adds a vector store for the Postgres-based vector database (`TimescaleVector`). Timescale Vector(https://www.timescale.com/ai) is PostgreSQL++ for AI applications. It enables you to efficiently store and query billions of vector embeddings in `PostgreSQL`: - Enhances `pgvector` with faster and more accurate similarity search on 1B+ vectors via DiskANN inspired indexing algorithm. - Enables fast time-based vector search via automatic time-based partitioning and indexing. - Provides a familiar SQL interface for querying vector embeddings and relational data. Timescale Vector scales with you from POC to production: - Simplifies operations by enabling you to store relational metadata, vector embeddings, and time-series data in a single database. - Benefits from rock-solid PostgreSQL foundation with enterprise-grade feature liked streaming backups and replication, high-availability and row-level security. - Enables a worry-free experience with enterprise-grade security and compliance. Timescale Vector is available on Timescale, the cloud PostgreSQL platform. (There is no self-hosted version at this time.) LangChain users get a 90-day free trial for Timescale Vector. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Avthar Sewrathan <avthar@timescale.com>	1 year ago
Michael Feil	55570e54e1	gradient.ai LLM intregration (#10800 ) - Description: This PR implements a new LLM API to https://gradient.ai - Issue: Feature request for LLM #10745 - Dependencies: No additional dependencies are introduced. - Tag maintainer: I am opening this PR for visibility, once ready for review I'll tag. - ```make format && make lint && make test``` is running. - added a `integration` and `mock unit` test. Co-authored-by: michaelfeil <me@michaelfeil.eu> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	808caca607	beef up agent docs (#10866 )	1 year ago
Bagatur	4b558c9e17	update guide imports (#10865 )	1 year ago
Sharath Rajasekar	96023f94d9	Add Javelin integration (#10275 ) We are introducing the py integration to Javelin AI Gateway www.getjavelin.io. Javelin is an enterprise-scale fast llm router & gateway. Could you please review and let us know if there is anything missing. Javelin AI Gateway wraps Embedding, Chat and Completion LLMs. Uses javelin_sdk under the covers (pip install javelin_sdk). Author: Sharath Rajasekar, Twitter: @sharathr, @javelinai Thanks!!	1 year ago
Harrison Chase	4074ea4c41	fix databricks docs (#10858 )	1 year ago
Bagatur	405ba44d37	more redirects (#10859 )	1 year ago
Bagatur	716c925a85	redirect platform to provider (#10857 )	1 year ago
Mukit Momin	67c5950df3	Amazon Bedrock Support Streaming (#10393 ) ### Description - Add support for streaming with `Bedrock` LLM and `BedrockChat` Chat Model. - Bedrock as of now supports streaming for the `anthropic.claude-` and `amazon.titan-` models only, hence support for those have been built. - Also increased the default `max_token_to_sample` for Bedrock `anthropic` model provider to `256` from `50` to keep in line with the `Anthropic` defaults. - Added examples for streaming responses to the bedrock example notebooks. _NOTE:_: This PR fixes the issues mentioned in #9897 and makes that PR redundant.	1 year ago
Bagatur	095f300bf6	add lcel how to index (#10850 )	1 year ago
DanielZzz	ebe08412ad	fix: chat_models Qianfan not compatiable with SystemMessage (#10642 ) - Description: QianfanEndpoint bugs for SystemMessages. When the `SystemMessage` is input as the messages to `chat_models.QianfanEndpoint`. A `TypeError` will be raised. - Issue: #10643 - Dependencies: - Tag maintainer: @baskaryan - Twitter handle: no	1 year ago
Aashish Saini	7395c28455	corrected spelling (#62 ) (#10816 )	1 year ago
zhanghexian	0abe996409	add clustered vearch in langchain (#10771 ) --------- Co-authored-by: zhanghexian1 <zhanghexian1@jd.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
HeTaoPKU	f505320a73	Add Minimax chat model (#10776 ) resolve the merging issues for https://github.com/langchain-ai/langchain/pull/6757 --------- Co-authored-by: 何涛 <taohe@bytedance.com>	1 year ago
Anar	c656a6b966	LLMRails (#10796 ) ### LLMRails Integration This PR provides integration with LLMRails. Implemented here are: langchain/vectorstore/llm_rails.py tests/integration_tests/vectorstores/test_llm_rails.py docs/extras/integrations/vectorstores/llm-rails.ipynb --------- Co-authored-by: Anar Aliyev <aaliyev@mgmt.cloudnet.services> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	1dae3c383e	Harrison/add submodule to docs (#10803 )	1 year ago
Harrison Chase	5d0493f652	improve notebook (#10804 )	1 year ago
Harrison Chase	d2bee34d4c	Harrison/add vald (#10807 ) Co-authored-by: datelier <57349093+datelier@users.noreply.github.com>	1 year ago
Mateusz Wosinski	a29cd89923	Synthetic data generation (#9759 ) ### Description Implements synthetic data generation with the fields and preferences given by the user. Adds showcase notebook. Corresponding prompt was proposed for langchain-hub. ### Example ``` output = chain({"fields": {"colors": ["blue", "yellow"]}, "preferences": {"style": "Make it in a style of a weather forecast."}}) print(output) # {'fields': {'colors': ['blue', 'yellow']}, 'preferences': {'style': 'Make it in a style of a weather forecast.'}, 'text': "Good morning! Today's weather forecast brings a beautiful combination of colors to the sky, with hues of blue and yellow gently blending together like a mesmerizing painting."} ``` ### Twitter handle @deepsense_ai @matt_wosinski --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Mateusz Wosinski	720f6dbaac	Add XMLOutputParser (#10051 ) Description Adds new output parser, this time enabling the output of LLM to be of an XML format. Seems to be particularly useful together with Claude model. Addresses [issue 9820](https://github.com/langchain-ai/langchain/issues/9820). Twitter handle @deepsense_ai @matt_wosinski	1 year ago
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>	1 year ago
Bagatur	73afd72e1d	fix qa structured link (#10799 ) redirect not working for some reason	1 year 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>	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
Aashish Saini	6a98974bd0	Update argilla.ipynb with spelling fix (#10611 ) Fixed spelling of responses and removed extra "the"	1 year ago

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2089 Commits (9c5eca92e45a4028be415272b27cf1f3491de6b4)