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title: RAG with MMR + PDF Upload | |
emoji: π | |
colorFrom: blue | |
colorTo: indigo | |
sdk: gradio | |
sdk_version: 5.29.0 | |
app_file: app.py | |
pinned: false | |
license: apache-2.0 | |
# π§ Retrieval-Augmented Generation with MMR and PDF Upload | |
This Gradio demo allows you to: | |
- Upload a PDF document | |
- Chunk the content and embed using `MiniLM` | |
- Store and search chunks using FAISS with **Maximal Marginal Relevance (MMR)** | |
- Answer questions using `FLAN-T5` | |
> Powered by LangChain + HuggingFace + Gradio + FAISS |