---
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).

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## 🚀 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`)

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## 🏗️ Project Structure