Enterprise RAG (Retrieval Augmented Generation)

Retrieval Augmented Generation (RAG) combines language models with internal knowledge sources. A vector index (e.g. Azure AI Search) retrieves relevant documents, then the LLM generates the answer — without fine-tuning. Standard architecture for enterprise search, AI-powered helpdesks and internal knowledge assistants.