{"id":24560102,"url":"https://github.com/rapidai/rapidrag","last_synced_at":"2025-04-12T20:45:45.213Z","repository":{"id":161510249,"uuid":"629253853","full_name":"RapidAI/RapidRAG","owner":"RapidAI","description":"QA based on local knowledge and LLM.","archived":false,"fork":false,"pushed_at":"2025-01-16T13:18:19.000Z","size":11103,"stargazers_count":224,"open_issues_count":0,"forks_count":45,"subscribers_count":8,"default_branch":"main","last_synced_at":"2025-04-04T01:16:21.389Z","etag":null,"topics":["chatglm","langchain","llm","local-knowledge","qa"],"latest_commit_sha":null,"homepage":"https://rapidai.github.io/RapidRAG/","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/RapidAI.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":"ROADMAP.md","authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-04-18T00:20:31.000Z","updated_at":"2025-04-02T12:51:10.000Z","dependencies_parsed_at":"2025-01-16T14:44:46.418Z","dependency_job_id":"21f6b9a6-80d6-419d-963c-08a8152de6ff","html_url":"https://github.com/RapidAI/RapidRAG","commit_stats":null,"previous_names":["rapidai/qa-localknowledge-llm","rapidai/rapidrag","rapidai/knowledge-qa-llm"],"tags_count":8,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RapidAI%2FRapidRAG","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RapidAI%2FRapidRAG/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RapidAI%2FRapidRAG/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RapidAI%2FRapidRAG/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/RapidAI","download_url":"https://codeload.github.com/RapidAI/RapidRAG/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248631692,"owners_count":21136559,"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":["chatglm","langchain","llm","local-knowledge","qa"],"created_at":"2025-01-23T07:06:27.722Z","updated_at":"2025-04-12T20:45:45.190Z","avatar_url":"https://github.com/RapidAI.png","language":"Python","funding_links":["https://www.buymeacoffee.com/SWHL"],"categories":[],"sub_categories":[],"readme":"\u003cdiv align=\"center\"\u003e\n  \u003cdiv align=\"center\"\u003e\n    \u003ch1\u003e\u003cb\u003e🧐 Rapid RAG\u003c/b\u003e\u003c/h1\u003e\n  \u003c/div\u003e\n  \u003ca href=\"\"\u003e\u003cimg src=\"https://img.shields.io/badge/Python-\u003e=3.8,\u003c3.12-aff.svg\"\u003e\u003c/a\u003e\n  \u003ca href=\"\"\u003e\u003cimg src=\"https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-pink.svg\"\u003e\u003c/a\u003e\n  \u003ca href=\"\"\u003e\u003cimg src=\"https://img.shields.io/github/v/release/RapidAI/QA-LocalKnowledge-LLM?logo=github\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://semver.org/\"\u003e\u003cimg alt=\"SemVer2.0\" src=\"https://img.shields.io/badge/SemVer-2.0-brightgreen\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://github.com/psf/black\"\u003e\u003cimg src=\"https://img.shields.io/badge/code%20style-black-000000.svg\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://choosealicense.com/licenses/apache-2.0/\"\u003e\u003cimg alt=\"GitHub\" src=\"https://img.shields.io/github/license/RapidAI/RapidRAG\"\u003e\u003c/a\u003e\n\n  [简体中文](./docs/README_zh.md) | English\n\u003c/div\u003e\n\n### 📣 We're looking for front-end development engineers interested in Knowledge QA with LLM, who can help us achieve front-end and back-end separation with our current implementation\n\n### Introduction\n\n- Questions \u0026 Answers based on local knowledge base + LLM.\n- Reason:\n    - The idea of this project comes from [Langchain-Chatchat](https://github.com/chatchat-space/Langchain-Chatchat).\n    - I have used this project before, but it is not very flexible and deployment is not very friendly.\n    - Learn from the ideas in [How to build a knowledge question answering system with a large language model](https://mp.weixin.qq.com/s/movaNCWjJGBaes6KxhpYpg), and try to use this as a practice.\n- Advantage:\n    - The whole project is modularized and does not depend on the `lanchain` library, each part can be easily replaced, and the code is simple and easy to understand.\n    - In addition to the large language model interface that needs to be deployed separately, other parts can use CPU.\n    - Support documents in common formats, including `txt, md, pdf, docx, pptx, excel` etc. Of course, other types of documents can also be customized and supported.\n\n### Demo\n\n⚠️ If you have Baidu Account, you can visit the [online demo](https://aistudio.baidu.com/projectdetail/6675380?contributionType=1) based on ERNIE Bot.\n\n\u003cdiv align=\"center\"\u003e\n    \u003cimg src=\"https://github.com/RapidAI/RapidRAG/releases/download/v0.0.1/UIDemo.gif\" width=\"100%\" height=\"100%\"\u003e\n\u003c/div\u003e\n\n### Documentation\n\nFull documentation can be found on [docs](https://rapidai.github.io/RapidRAG/docs/), in Chinese.\n\n### TODO\n\n- [ ] Support keyword + vector hybrid search.\n- [ ] Vue.js based UI .\n\n### Code Contributors\n\n\u003cp align=\"left\"\u003e\n  \u003ca href=\"https://github.com/RapidAI/RapidRAG/graphs/contributors\"\u003e\n    \u003cimg src=\"https://contrib.rocks/image?repo=RapidAI/RapidRAG\" width=\"15%\"/\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\n### Contributing\n\n- Pull requests are welcome. For major changes, please open an issue first\nto discuss what you would like to change.\n- Please make sure to update tests as appropriate.\n\n### [Sponsor](https://swhl.github.io/RapidVideOCR/docs/sponsor/)\n\nIf you want to sponsor the project, you can directly click the **Buy me a coffee** image, please write a note (e.g. your github account name) to facilitate adding to the sponsorship list below.\n\n\u003cdiv align=\"left\"\u003e\n  \u003ca href=\"https://www.buymeacoffee.com/SWHL\"\u003e\u003cimg src=\"https://raw.githubusercontent.com/RapidAI/.github/main/assets/buymeacoffe.png\" width=\"30%\" height=\"30%\"\u003e\u003c/a\u003e\n\u003c/div\u003e\n\n### License\n\n[Apache 2.0](https://choosealicense.com/licenses/apache-2.0/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frapidai%2Frapidrag","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frapidai%2Frapidrag","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frapidai%2Frapidrag/lists"}