Spaces:
Running
Running
| 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 | |