RAG (Retrieval-Augmented Generation)

Published 2026-08-19 in AI Agents

RAG (Retrieval-Augmented Generation) is no longer just “vector database + LLM.” In production, you choose the retrieval architecture based on the type of questions, data, and failure risks your application has. A useful way to understand it is: User Query → Decide how to retrieve → Retrieve evidence → Validate evidence → Generate answer Different RAG architectures change the “how to retrieve” part.

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