RAG & Semantic Search: Retrieve relevant context
Retrieve relevant context
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Category overview
What RAG & Semantic Search is designed to cover
RAG succeeds when retrieval is strong and visible. Tune chunk size and overlap, choose embeddings wisely, and combine lexical with vector search. Evaluate end‑to‑end with groundedness and answer quality metrics. Cache responses where stable; log prompts, retrievals and decisions. Respect permissions at query time; redact PII and avoid training on sensitive corpora by default.
Editorial objectiveRetrieve relevant context; cite sources; evaluate quality; protect access; control costs with caching.
What good looks like
Outcomes to look for in RAG & Semantic Search
Use the source objective as a testable brief, then measure quality, correction effort and control.
Retrieve relevant context; cite sources; evaluate quality; protect access; control costs with caching.
RAG & Semantic Search: Cite sources
cite sources
RAG & Semantic Search: Evaluate quality
evaluate quality
RAG & Semantic Search: Protect access
protect access
Practical workflows
Ways to put RAG & Semantic Search to work
Start with a workflow that has clear inputs, a named owner and an output that can be checked.
Retrieve relevant context
Retrieve relevant context
Cite sources
cite sources
Evaluate quality
evaluate quality
Protect access
protect access
Questions about RAG & Semantic Search
RAG & Semantic Search FAQ
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