Build a Private AI Chatbot Running 100% Locally with Nexa SDK - Complete Tutorial with RAG Implementation

Learn to build a fully functional AI chatbot that runs completely locally on your computer using Nexa SDK, ensuring complete data privacy and security. Master the installation and setup of Nexa SDK with one-click model downloads, explore running various AI models including Qwen 3 VL on GPU, NPU, CPU, or mobile devices, and discover how to create a local server with OpenAI-compatible API. Develop a Python-based chatbot with real-time streaming responses, build an intuitive user interface using Chainlit framework, and implement advanced RAG (Retrieval Augmented Generation) functionality for querying private documents. Explore vector database integration with ChromaDB, embedding models for semantic search, and complete document processing capabilities with PyPDF. Compare Nexa SDK's advantages over Ollama including MLX support, NPU acceleration, full multimodal capabilities, and built-in server functionality. Gain hands-on experience with technologies including Python, OpenAI API, Chainlit, ChromaDB, Sentence Transformers, and document processing tools while maintaining 100% local operation where no data leaves your computer.