{"id":13742226,"url":"https://github.com/ray-project/langchain-ray","last_synced_at":"2025-05-08T23:33:26.662Z","repository":{"id":155451689,"uuid":"632188563","full_name":"ray-project/langchain-ray","owner":"ray-project","description":"Examples on how to use LangChain and Ray","archived":true,"fork":false,"pushed_at":"2023-06-14T17:58:44.000Z","size":19491,"stargazers_count":209,"open_issues_count":6,"forks_count":46,"subscribers_count":8,"default_branch":"main","last_synced_at":"2024-06-11T19:35:34.938Z","etag":null,"topics":["fine-tuning-t5","generative-ai","langchain","langchain-python","llm","llms","ray","ray-air","ray-distributed"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ray-project.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-04-24T22:35:29.000Z","updated_at":"2024-08-03T05:00:52.888Z","dependencies_parsed_at":null,"dependency_job_id":"d4f6fc77-2b80-4bc8-9a73-2971e37e3a67","html_url":"https://github.com/ray-project/langchain-ray","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ray-project%2Flangchain-ray","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ray-project%2Flangchain-ray/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ray-project%2Flangchain-ray/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ray-project%2Flangchain-ray/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ray-project","download_url":"https://codeload.github.com/ray-project/langchain-ray/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253165114,"owners_count":21864382,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["fine-tuning-t5","generative-ai","langchain","langchain-python","llm","llms","ray","ray-air","ray-distributed"],"created_at":"2024-08-03T05:00:24.312Z","updated_at":"2025-05-08T23:33:25.471Z","avatar_url":"https://github.com/ray-project.png","language":"Python","funding_links":[],"categories":["Models and Projects"],"sub_categories":["Ray + LLM"],"readme":"# 🦜️🔗 LangChain and Ray - repository of examples\n\n© 2023, Anyscale Inc. All Rights Reserved\n\n\u003cimg src=\"https://technical-training-assets.s3.us-west-2.amazonaws.com/Generic/ray_logo.png\" width=\"30%\" loading=\"lazy\"\u003e\n\n\u003ca href=\"https://forms.gle/9TSdDYUgxYs8SA9e8\"\u003e\u003cimg src=\"https://img.shields.io/badge/Ray-Join%20Slack-blue\" alt=\"join-ray-slack\"\u003e\u003c/a\u003e\n\u003ca href=\"https://discuss.ray.io/\"\u003e\u003cimg src=\"https://img.shields.io/badge/Discuss-Ask%20Questions-blue\" alt=\"discuss\"\u003e\u003c/a\u003e\n\u003ca href=\"https://twitter.com/raydistributed\"\u003e\u003cimg src=\"https://img.shields.io/twitter/follow/raydistributed?label=Follow\" alt=\"twitter\"\u003e\u003c/a\u003e\n\nWelcome to the LangChain and Ray!\n\n## Overview\n\nLangChain and Ray are two Python libraries that are emerging as key components of the modern open source stack for LLMs (OSS LLMs). If you're a Python developer or a machine learning practitioner, these tools can be very helpful in rapidly developing LLM-based applications by making it easier to build and deploy these models.\n\nThis repo is as a go-to place for all technical examples and use cases on how to use these two libraries together.\n\n## Examples\n\n| Example                                  | Code                                        | Blog                                                                                                | Video                                                     |\n|------------------------------------------|---------------------------------------------|-----------------------------------------------------------------------------------------------------|-----------------------------------------------------------|\n| Open Source LLM Search Engine            | [![github]](open_source_LLM_search_engine/) | [![article]](https://www.anyscale.com/blog/llm-open-source-search-engine-langchain-ray)             | [![youtube]](https://www.youtube.com/watch?v=v7a8SR-sZpI) |\n| Fast and Scalable Embedding Generation   | [![github]](embedding_pdf_documents/)       | [![article]](https://www.anyscale.com/blog/turbocharge-langchain-now-guide-to-20x-faster-embedding) | [![youtube]](https://www.youtube.com/watch?v=hGnZajytlac) |\n| Retrival-Based Question Answering System | [![github]](open_source_LLM_retrieval_qa/)  | [![article]]()                                                                                      | [![youtube]]()                                            |\n\n## Connect with the Ray community\n\nYou can learn and get more involved with the Ray community of developers and researchers:\n\n* [**Ray documentation**](https://docs.ray.io/en/latest)\n\n* [**Official Ray site**](https://www.ray.io/)\nBrowse the ecosystem and use this site as a hub to get the information that you need to get going and building with Ray.\n\n* [**Join the community on Slack**](https://forms.gle/9TSdDYUgxYs8SA9e8)\nFind friends to discuss your new learnings in our Slack space.\n\n* [**Use the discussion board**](https://discuss.ray.io/)\nAsk questions, follow topics, and view announcements on this community forum.\n\n* [**Join a meetup group**](https://www.meetup.com/Bay-Area-Ray-Meetup/)\nTune in on meet-ups to listen to compelling talks, get to know other users, and meet the team behind Ray.\n\n* [**Open an issue**](https://github.com/ray-project/ray/issues/new/choose)\nRay is constantly evolving to improve developer experience. Submit feature requests, bug-reports, and get help via GitHub issues.\n\n* [**Become a Ray contributor**](https://docs.ray.io/en/latest/ray-contribute/getting-involved.html)\nWe welcome community contributions to improve our documentation and Ray framework.\n\n\u003cimg src=\"https://technical-training-assets.s3.us-west-2.amazonaws.com/Generic/ray_logo.png\" width=\"30%\" loading=\"lazy\"\u003e\n\n\u003c!--- Resources --\u003e\n[github]: https://technical-training-assets.s3.us-west-2.amazonaws.com/Generic/icons/github-icon.png \"Check code here on GitHub\"\n[youtube]: https://technical-training-assets.s3.us-west-2.amazonaws.com/Generic/icons/youtube-logo-icon.png \"Watch video walkthrough\"\n[article]: https://technical-training-assets.s3.us-west-2.amazonaws.com/Generic/icons/article-icon.png \"Read article on the Anyscale blog\"\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fray-project%2Flangchain-ray","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fray-project%2Flangchain-ray","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fray-project%2Flangchain-ray/lists"}