LAB-002 / Retrieval

RAG Reference Architecture

How to retrieve evidence, ground generated answers and evaluate search quality.

Architecture guide
SYSTEM DESIGN / CONCEPTUAL

Architecture flow

01Documents
02Chunk + index
03Retrieve
04Generate
05Cite + evaluate

A conceptual retrieval-augmented generation pipeline. Real systems also enforce document authorization and track retrieval and answer quality.

Ingestion

Parse source documents, segment content into traceable chunks, attach source metadata and index searchable representations. Re-index when sources change.

Serving

Embed or otherwise interpret the query, retrieve authorized chunks, optionally rerank them, and pass context to the model with instructions to ground its answer in supplied evidence.

Evaluation

Measure retrieval recall, relevance, answer faithfulness, latency and cost using a representative question set. Handle no-evidence cases explicitly.

This is an architecture guide, not a deployed application or runnable reference implementation. Further source code and guided exercises will be added after validation.