18. Real-World RAG Use Cases

Apply RAG to support, developer documentation, enterprise knowledge, and research synthesis.

Support and Policy Assistant

Retrieve approved policies and product docs with source priority, region, product, and effective-date filters. Use live APIs for account-specific data. Cite policies, clarify missing details, and escalate uncertain or high-impact cases. A retrieved passage should not automatically authorize refunds or account changes; side effects require separate permissions and approval.

Implementation example

Question -> product/region -> approved policy retrieval
 -> answer with citations -> clarify/escalate if needed

💡 Source authority and freshness matter as much as semantic similarity.

Key Takeaways

Inspect the relevant pipeline stage instead of guessing.
Preserve source provenance, versions, and access scope.
Measure quality on representative queries.

Knowledge Check

What should outrank an old support ticket for a policy answer?

Developer Documentation and Codebase Assistant

Index README files, API docs, architecture decisions, code, and runbooks. Preserve file path, symbol, language, repository commit, branch, and line ranges. Hybrid search helps with exact identifiers and semantic questions. Respect repository permissions and refresh on commits, renames, and deletions.

Implementation example

{
 "repository":"bytes4dev",
 "commit":"abc123",
 "path":"src/auth/session.js",
 "symbol":"verifySession",
 "startLine":20,
 "endLine":58
}

💡 Commit and line metadata support reproducibility and source tracing.

Key Takeaways

Inspect the relevant pipeline stage instead of guessing.
Preserve source provenance, versions, and access scope.
Measure quality on representative queries.

Knowledge Check

Why is lexical search valuable for code search?

Enterprise Knowledge Across Systems

Enterprise sources include wikis, tickets, CRM, HR policies, and structured databases, each with different identity and freshness semantics. Normalize metadata while preserving original ACL mappings. Use query routing or federated search where appropriate. Avoid copying sensitive data into a shared unrestricted index; use stronger isolation where required.

Implementation example

Question -> approved source routing -> source-specific ACL
 -> normalized results + provenance -> merge/rerank -> answer

💡 Unified search must preserve source-specific permissions.

Key Takeaways

Inspect the relevant pipeline stage instead of guessing.
Preserve source provenance, versions, and access scope.
Measure quality on representative queries.

Knowledge Check

What is the risk of one unrestricted enterprise index?

Research and Evidence Synthesis Assistant

Research workflows gather sources, compare claims, identify disagreement, and create traceable reports. Rank by source authority and relevance, distinguish primary from secondary sources, and preserve claim-to-source mappings. Bounded multi-step retrieval can cover subtopics, but the system must not invent citations or treat source presence as proof of support.

Implementation example

{
 "claimId":"claim-04",
 "claim":"Feature X became available in release 4",
 "sources":[{"sourceId":"release-notes-4","support":"direct"}],
 "status":"supported",
 "reviewRequired":true
}

💡 A claim ledger helps reviewers verify important statements; the example is fictional.

Key Takeaways

Inspect the relevant pipeline stage instead of guessing.
Preserve source provenance, versions, and access scope.
Measure quality on representative queries.

Knowledge Check

What should happen to a claim supported only by weak evidence?

Support and Policy Assistant

Developer Documentation and Codebase Assistant

Enterprise Knowledge Across Systems

Research and Evidence Synthesis Assistant

STAY UPDATED WITH BYTES!