Local AI Knowledge Base with Next.js, Ollama, and PostgreSQL

Aman Yadav developed a fully local, AI-powered Knowledge Base Management System for the Open Source AI Challenge. This system uses PostgreSQL's AI extensions and Ollama's local models, ensuring all AI processing occurs on the user's machine for complete privacy and control. The system features a chat interface with RAG capabilities, function calling for expanded interaction, and a modern web interface with real-time chat interactions and file management. The project leverages various open-source tools including Next.js, Vercel AI SDK, shadcn/ui, and Min.io. The most challenging aspect was enabling local operation, and the project's GitHub repository is available for further development. Future improvements include fine-tuning prompts, adding support for more document formats, implementing multi-model support, optimizing vector search performance, and adding batch processing capabilities.