Master the principles, architecture, and core components required to build production-ready RAG applications. Learn to create custom knowledge chatbots using Next.js, Supabase with pgvector, and Google's Gemini API. Perfect for JavaScript/Next.js developers who want to integrate advanced AI features.
7 módulos • 17 lecciones
Build a private, offline knowledge base over your own notes and PDFs using a local AI model. A hands-on beginner micro course: run a model with Ollama, turn documents into embeddings, store them in a local Chroma database, and ask questions answered from your own files. No cloud APIs, no fees, your data stays on your machine. Want to deploy it as a web app instead? See the Full-Stack RAG course (/courses/fullstack-rag-nextjs-supabase-gemini).
Move beyond chatbots. Build autonomous agents that work for business. Learn to create production-ready AI agents using JavaScript, TypeScript, Next.js, and the Vercel AI SDK. Perfect for JavaScript developers who want to build AI applications without learning Python.
Master database internals, indexing, and schema design for modern AI applications. Learn how SQL databases power production AI systems at TikTok, Uber, and Netflix. Build RAG systems, feature stores, and high-performance pipelines with PostgreSQL and pgvector.
Master vector databases for AI applications. Learn embeddings, similarity search, and hands-on setup of Pinecone, pgvector, and Chroma. Understand indexing strategies, hybrid search, performance optimization, and how to choose the right database for your use case.
Learn OpenClaw, the viral open-source autonomous AI agent. Understand the Gateway architecture, install and configure your own agent, master skills and memory, secure your setup with Docker sandboxing, build multi-agent teams, publish skills to ClawHub, and optimize performance.