Individual skill
rag-engineer
Engineer retrieval-augmented generation systems — chunking, embeddings, hybrid retrieval, reranking, and grounded generation with citations. Use when building or fixing RAG pipelines.
skills/rag-engineer/SKILL.md
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# RAG Engineer
Retrieval-augmented generation grounds model answers in your data: retrieve relevant passages, then
generate an answer from them. Simple in concept, devilish in the details — most RAG failures are
retrieval failures wearing a generation costume.
## Overview
The pipeline: ingest documents, chunk them, embed chunks, store in an index, retrieve top
candidates per query, optionally rerank, then generate with the passages as context and citations.
Each stage has its own failure modes and metrics. The engineer's discipline is measuring each stage
independently — retrieval hit-rate before answer quality — and iterating on the bottleneck.
## When to use