This project serves as a functional RAG UI for both end users who want to do QA on their documents and developers who want to build their own RAG pipeline.
This document QA tool sounds incredibly powerful and versatile, especially for teams managing a variety of data sources and needing precise, multi-modal question answering. The hybrid RAG pipeline and support for both local and API-based LLMs make it flexible, and the ability to organize files in private or public collections with multi-user login is great for collaboration.
The advanced citation and document preview features are impressive—it’s essential to ensure the accuracy of AI-generated responses, and being able to view relevant scores directly in a PDF viewer with highlights is a huge bonus. Also, the support for complex reasoning methods and the ability to fine-tune settings via the UI adds a lot of flexibility for users with different needs.
This looks like a fantastic tool for teams handling complex research or document-heavy workflows. It’ll be interesting to see how people customize and extend it for their specific use cases!
Congratulations on the launch of Cinnamon/kotaemon! It's exciting to see an open-source tool that supports both local LLMs and popular API providers. Looking forward to seeing how this evolves and helps streamline document interactions!
Elisi : AI-powered Goal Management App
Thunderbit