MAF v1 — Context Providers (Python + .NET)
Add per-request context with focused providers, compose them before each LLM call, and plug in TextSearchProvider for simple RAG.
Rag
Building a Comprehensive RAG System: A Deep Dive Into Knowledge Architecture
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 landscape evolve, 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.
