metadata

title: RAGsystem
emoji: 🌍
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 5.25.2
app_file: app.py
pinned: false
short_description: RAG System with Phi-2

PDF RAG System with Phi-2

This application allows you to upload PDF documents and ask questions about their content. It uses a Retrieval-Augmented Generation (RAG) pipeline with the Phi-2 language model.

Features

PDF document upload and processing
Text and table extraction from PDFs
Hybrid search combining vector embeddings and BM25
Query expansion for better search results
Streaming response generation

How to Use

Upload your PDF files
Process the documents
Ask questions about the content
Adjust retrieval and generation parameters as needed

Technical Details

Uses Phi-2 language model via llama.cpp
Sentence Transformers for document embeddings
FAISS for vector search
BM25 for keyword search
Hybrid retrieval with configurable weighting