A clean and customizable RAG user interface for document question answering, designed for both end users who want to chat with their documents and developers who need a foundation to build RAG pipelines.
Project overview
A clean and customizable RAG user interface for document question answering, designed for both end users who want to chat with their documents and developers who need a foundation to build RAG pipelines.
Project type
RAG
Use cases
Knowledge Q&A
Deployment
Refer to project documentation
License
Apache-2.0
Best for
General users who need an accessible interface for chatting with their documents.
Developers who want a foundation to build custom RAG pipelines.
Key capabilities
A functional RAG user interface for doing question answering on user documents.
Provides a foundation for developers to build their own RAG pipeline by importing the project as a library.
Limitations and risks
Runtime requirements for operating systems, GPU, minimum hardware, databases, external services, and model requirements are not documented.
Getting started
Users can access a hosted live demo on Hugging Face Spaces to try the tool without installation.
Users can start a one-click Google Colab notebook to run the application.
A Docker image is available via GitHub Container Registry for local deployment.
Evidence and sources
README: An open-source clean & customizable RAG UI for chatting with your documents. Built with both end users and developers in mind.
README: 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.