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metadata

title: RAG with MMR + PDF Upload 📄
emoji: 📄
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.34.1
app_file: app.py
pinned: false
license: apache-2.0
tags:
  - RAG
  - MMR
  - PDF
  - upload
  - retrieval-augmented-generation
  - NLP
  - search
  - document-qa
description: >-
  A Gradio application demonstrating Retrieval Augmented Generation (RAG) with
  Maximal Marginal Relevance (MMR) for improved document retrieval, allowing
  users to upload PDF files for querying. This app aims to provide more relevant
  and diverse answers by leveraging MMR during the retrieval process.

🧠 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