RAG Application

Project information

Retrieval-Augmented Generation (RAG) Application

A production-ready RAG system that enables intelligent document querying through natural language processing. Upload documents, generate embeddings, and get AI-powered answers with contextual citations.

Features: • FastAPI backend with REST API endpoints • Streamlit web interface for document management • FAISS vector database for similarity search • OpenAI GPT integration for intelligent responses • Docker containerization for easy deployment • Comprehensive testing suite • GitLab CI/CD pipeline ready

Quick Start:

Clone repository Set OPENAI_API_KEY in .env Run: docker compose up Access UI: http://localhost:8501

Perfect for document analysis, knowledge management, and intelligent search applications.

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