🧐 Rapid RAG

简体中文 | English

📣 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

Introduction

• Questions & Answers based on local knowledge base + LLM.
• Reason:
  • The idea of this project comes from Langchain-Chatchat.
  • I have used this project before, but it is not very flexible and deployment is not very friendly.
  • Learn from the ideas in How to build a knowledge question answering system with a large language model, and try to use this as a practice.
• Advantage:
  • 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.
  • In addition to the large language model interface that needs to be deployed separately, other parts can use CPU.
  • 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.

Demo

⚠️ If you have Baidu Account, you can visit the online demo based on ERNIE Bot.

Documentation

Full documentation can be found on docs, in Chinese.

TODO

• Support keyword + vector hybrid search.
• Vue.js based UI .

Code Contributors

Contributing

• Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
• Please make sure to update tests as appropriate.

Sponsor

If 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.

License

Apache 2.0