Rag

A reference to all 39 evaluators in Azure’s AI Evaluation SDK — quality, RAG, agent, safety, and custom — organized by which ones you can actually import, and which only exist in the cloud catalog.

Add per-request context with focused providers, compose them before each LLM call, and plug in TextSearchProvider for simple RAG.

TL;DR: This guide walks you through building a production-ready RAG system using FastAPI, ChromaDB, MinIO, and OpenAI. Learn document chunking, vector embeddings, hybrid search, and real-world deployment strategies. Introduction # As a .NET developer watching the AI space move fast, I found myself both excited and skeptical. When tools like Claude.ai and ChatGPT started offering out-of-the-box RAG solutions, I wanted to build my own system with full control over the implementation.