AI-Research

Production RAG Architecture Notes

A reference layout for retrieval pipelines, indexing strategy, and response grounding in production AI apps.

Overview

Define a retrieval contract first: what source quality, freshness, and citation behavior is required for each query type.

Design chunking and metadata strategy around retrieval intent, not document format alone.

Use reranking and answer-grounding checks to reduce irrelevant context leakage.

Continuously monitor retrieval hit quality and answer citation validity with sampled audits.