Local AI Knowledge Base: Dockerized RAG (No API Fees) - Lite Edition

🏆 Awarded "Top Docker Author" on Dev.to (Nov 2025)

Stop sending your sensitive data to the cloud.

If you are an engineer or researcher dealing with private technical documentation, you shouldn't have to choose between AI productivity and data security. This Lite Edition provides the full production-ready core of my Local RAG (Retrieval-Augmented Generation) system, optimized for high performance on local hardware.

🚀 Why this Tool?

• 100% Privacy: Everything stays on your machine. No OpenAI, no subscription fees, and zero data leakage.
• Dockerized Deployment: Skip the "dependency hell." With a single docker-compose up, you have a fully functional RAG system running locally.
• Engineer-Centric UI: Built with a clean Streamlit interface, allowing you to upload PDFs and query your knowledge base instantly.
• Industrial Efficiency: Optimized for Llama 3 and local vector databases to ensure fast response times for technical queries.

📦 What’s inside the Lite Edition?

• Full Source Code: Access to the complete Python implementation and Streamlit frontend.
• Optimized Dockerfiles: Pre-configured environments for seamless setup.
• PDF Processing Pipeline: Automated scripts to ingest and index your local documents.

Note: The Lite Edition is designed for developers who are comfortable with Docker and Python environments. It provides the exact same core technology shown in my demo video but excludes the 1-on-1 remote setup service.

Scale your local intelligence today without the monthly bill.