langchain

Commit Graph

Author	SHA1	Message	Date
Aashish Saini	c4471d1877	Fixing some spelling mistakes (#10881 ) @baskaryan --------- Co-authored-by: AashutoshPathakShorthillsAI <142410372+AashutoshPathakShorthillsAI@users.noreply.github.com> Co-authored-by: Aayush <142384656+AayushShorthillsAI@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: 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> Co-authored-by: Akshay Tripathi <142379735+AkshayTripathiShorthillsAI@users.noreply.github.com>	12 months ago
Cynthia Yang	6dd44ff1c0	Refactor Fireworks and add ChatFireworks (#3 ) (#10597 ) Description * Refactor Fireworks within Langchain LLMs. * Remove FireworksChat within Langchain LLMs. * Add ChatFireworks (which uses chat completion api) to Langchain chat models. * Users have to install `fireworks-ai` and register an api key to use the api. Issue - Not applicable Dependencies - None Tag maintainer - @rlancemartin @baskaryan	12 months ago
Joseph McElroy	175ef0a55d	[ElasticsearchStore] Enable custom Bulk Args (#11065 ) This enables bulk args like `chunk_size` to be passed down from the ingest methods (from_text, from_documents) to be passed down to the bulk API. This helps alleviate issues where bulk importing a large amount of documents into Elasticsearch was resulting in a timeout. Contribution Shoutout - @elastic - [x] Updated Integration tests --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	12 months ago
Leonid Ganeline	21199cc7b4	📖 docs: fixed `integrations/document loaders` toc (#9281 ) Fixed navbar: - renamed several files, so ToC is sorted correctly - made ToC items consistent: formatted several Titles - added several links - reformatted several docs to a consistent format - renamed several files (removed `_example` suffix) - added renamed files to the `docs/docs_skeleton/vercel.json`	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
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>	1 year 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.	1 year 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	f0408c347f	llm feat table revision (#10947 )	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
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
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
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
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	d2bee34d4c	Harrison/add vald (#10807 ) Co-authored-by: datelier <57349093+datelier@users.noreply.github.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
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
Bagatur	4c80978ec6	mv data bricks sql page (#10748 )	1 year ago
Harrison Chase	e404fd39dd	add anthropic page (#10666 )	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
Harrison Chase	5442d2b1fa	Harrison/stop importing from init (#10690 )	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
Harrison Chase	116cc7998c	update partners first sentence for preview (#10665 )	1 year ago
Ikko Eltociear Ashimine	f6e5632c84	Fix typo in google_vertex_ai_palm.ipynb (#10631 ) seperate -> separate	1 year ago
Gökhan Geyik	976a18c1d5	fix: Lemon AI Analytics broken link (#10641 ) Description The [current redirect link](https://github.com/felixbrock/lemonai-analytics) gives 404 error replace it with the [correct link](https://github.com/felixbrock/lemon-agent/blob/main/apps/analytics/README.md) Resource: https://python.langchain.com/docs/integrations/tools/lemonai	1 year ago
Bagatur	3fb9cfb4ae	openai docs nit (#10656 )	1 year ago
Bagatur	2ae568dcf5	Separate platforms integrations docs (#10609 )	1 year ago
Jeffrey Morgan	6d3670c7d8	Use `OllamaEmbeddings` in ollama examples (#10616 ) This change the Ollama examples to use `OllamaEmbeddings` for generating embeddings.	1 year ago
Aashish Saini	f9f1340208	Fixed some grammatical and spelling errors (#10595 ) Fixed some grammatical and spelling errors	1 year ago
Ackermann Yuriy	5e50b89164	Added embeddings support for ollama (#10124 ) - Description: Added support for Ollama embeddings - Issue: the issue # it fixes (if applicable), - Dependencies: N/A - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: @herrjemand cc https://github.com/jmorganca/ollama/issues/436	1 year ago
Bagatur	48a4efc51a	Bagatur/update replicate nb (#10605 )	1 year ago
Bagatur	77a165e0d9	fix replicate output type (#10598 )	1 year ago
Aashish Saini	7608f85f13	Removed duplicate heading (#10570 ) I recently reviewed the content and identified that there heading appeared twice on the docs.	1 year ago
Bagatur	7f3f6097e7	Add mmr support to redis retriever (#10556 )	1 year ago
Tomaz Bratanic	e1e01d6586	Add Neo4j vector index hybrid search (#10442 ) Adding support for Neo4j vector index hybrid search option. In Neo4j, you can achieve hybrid search by using a combination of vector and fulltext indexes. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
ItzPAX	cbb4860fcd	fix typo in aleph_alpha.ipynb (#10478 ) fixes the aleph_alpha.ipynb typo from contnt to content	1 year ago
stonekim	adabdfdfc7	Add Baidu Qianfan endpoint for LLM (#10496 ) - Description： * Baidu AI Cloud's [Qianfan Platform](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html) is an all-in-one platform for large model development and service deployment, catering to enterprise developers in China. Qianfan Platform offers a wide range of resources, including the Wenxin Yiyan model (ERNIE-Bot) and various third-party open-source models. - Issue: none - Dependencies: * qianfan - Tag maintainer: @baskaryan - Twitter handle: --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago

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324 Commits (33da8bd711224bd64106b55dadcd594b4b572b7a)