Architecture Breakdown: How MIT Built a Zero-Hallucination RAG System (Without a Dev Team)

Every developer right now is getting the same request from management: "Can we build an AI chatbot for our internal docs?"If you've tried building a Retrieval-Augmented Generation (RAG) pipeline from scratch, you know it's a headache. You have to deal with document parsing, chunking strategies, vector databases (like Pinecone or Milvus), embedding models, orchestration (LangChain/LlamaIndex), and UI development - not to mention the constant battle against LLM hallucinations.