README.md

metadata

title: Document Question Answering (RAG)
emoji: 📚
colorFrom: indigo
colorTo: pink
sdk: gradio
python_version: '3.11'
app_file: app.py
pinned: false
license: mit
short_description: Retrieval-augmented question answering over a small doc set

Document Question Answering (RAG) - live demo

Ask a question about a small documentation set. The system retrieves the most relevant passages and answers from them, citing the source file for each fact.

• Code: https://github.com/delcenjo/rag-document-assistant