A Retrieval-Augmented Generation (RAG) system for document analysis, summarization, and question answering.

This project allows you to upload documents, generate their summaries, ask natural language questions, and retrieve highly relevant document snippets using LLMs and vector databases.

📂 Upload and process multiple document formats:

📖 Automatic document summarization using OpenAI's LLMs

🔍 Natural language question answering over your documents

🔁 Fast retrieval of relevant chunks with similarity scores

🌐 Clean, responsive Streamlit web app

🛠️ Document management: upload, select, delete, and refresh documents easily