Build a Production-Oriented AI Chat Agent in .NET with RAG, Ollama, OpenAI, and Local Fallback
Build a website-grounded AI agent with hierarchical JSON knowledge, true parent-child retrieval, deterministic safeguards, provider-transparent vector search, a local answer composer, citations, lead handoff, analytics, and authenticated administration.
Read tutorial
Embedding Models vs LLMs: Understand the Two Engines Behind RAG
Build a correct mental model of semantic vectors, transformer-based embedding pipelines, similarity search, token generation, grounding, and the complete retrieval-augmented generation workflow.
Read tutorial