Build permission-aware document answers with versioned chunks, measured retrieval, grounded responses and safe index updates.
Learning path
- Retrieval corpus contracts: identity, permissions and document lifecycle
- Chunking documents: preserve section identity and answer boundaries
- Retrieval design: compare lexical, semantic and reranked candidates
- Grounded answers: require passage support and a no-answer path
- RAG evaluation: separate retrieval recall from answer support
- Retrieved text as untrusted data: keep instructions and tools separate
- Index freshness: publish complete revisions and remove stale chunks
- Project: answer support-policy questions with permission-aware evidence
Connected foundations
Use the earlier data and model boundaries as prerequisites.
Practice
Continue into another subject: Recommendation Systems Tutorial.
Continue the workflow: Cross-modal retrieval: candidate pools, ranking and versioned indexes.
Continue the workflow: Graph-grounded retrieval: candidate recall and unsupported claims.