README.md

metadata

title: PDF Chatbot – RAG Pipeline
emoji: 📄
colorFrom: indigo
colorTo: purple
sdk: streamlit
sdk_version: 1.35.0
app_file: app.py
pinned: false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

📄 PDF Chatbot – RAG Pipeline

This Space hosts an end-to-end Retrieval-Augmented Generation (RAG) pipeline that allows users to upload PDFs and ask questions about their content.

The system extracts text, chunks it intelligently, embeds it into a vector database, and retrieves relevant context to answer queries using a large language model (LLM).

---

🚀 Features

• 🔹 PDF upload support
• 🔹 Automatic text extraction
• 🔹 Smart document chunking
• 🔹 Vector storage using ChromaDB
• 🔹 LLM-powered question answering
• 🔹 Streamlit-based interface
• 🔹 Clean RAG pipeline implementation (src/rag_pipeline.py)

---

🏗️ Project Structure