#vector database

A hands-on series for building a local AI stack with Gemma 4 on Apple Silicon following engineering best practices. From Ollama setup, API integration, RAG pipeline, hybrid retrieval, to observability and hardening for internal environments.

In-depth course on Retrieval-Augmented Generation (RAG) — techniques for connecting the LLM to your own data. From basic RAG to Graph RAG, Agentic RAG, Multimodal RAG. Hands-on with ChromaDB, Qdrant, LangChain, LlamaIndex. Deploy "Chat with Documents" to production.