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A newer version of the Streamlit SDK is available: 1.53.1

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metadata

title: Multi-Source RAG Assistant
emoji: 📚
colorFrom: indigo
colorTo: blue
sdk: streamlit
sdk_version: 1.45.0
app_file: app.py
pinned: false

📚 Multi-Source RAG Assistant

This app lets users interact with:

🧾 PDF documents
📊 CSV datasets (with automatic EDA)
🌐 Any website (scraped and embedded into a vector database)

💡 Powered by:

Google Gemini API
FAISS vector search
LangChain framework

🔧 How It Works

Select input type from sidebar: PDF, CSV, or Website URL.
Upload or input accordingly.
Ask questions — the assistant answers using context-aware RAG via Gemini.

🚀 Getting Started

Before using the app:

Enter your Gemini API Key in the sidebar.

🧠 Tech Stack

Streamlit for UI
LangChain for RAG logic
FAISS for vector storage
SentenceTransformers for embeddings
Google Generative AI (Gemini) for LLM-powered answers

🛠 Developed by Abhijeet Singh

Hosted with ❤️ on Hugging Face Spaces