An AI-powered document processing pipeline designed for hackathon-driven innovations. AIHackathon-RAGLens blends Retrieval-Augmented Generation (RAG) with graph-based insights for powerful document understanding and visualization.
🔹 📄 Document Processing: Extracts, chunks, and embeds text for efficient retrieval.
🔹 🧠 AI-Powered RAG: Enhances document interaction using ChromaDB & OpenAI APIs.
🔹 🔗 Graph-Based Insights: Generates knowledge graphs in Neo4j for entity & relationship visualization.
🔹 ⚡ Fast & Scalable: Built with Django and optimized for rapid processing.
🔹 📡 RESTful APIs: Provides structured endpoints for document retrieval & analysis.
🔹 🛠️ Developer-Friendly: Modular, extensible, and ready for integration.
🔎 Tech Stack: 🐍 Django | 🖇️ Neo4j | 🔥 ChromaDB | 🤖 OpenAI API | 📦 Celery | 📜 LangChain
💡 Ideal for: RAG-based AI projects, document intelligence, and hackathon prototypes! 🚀