AI search
Practice this questionWANT TO UNDERSTAND THE CONCEPT FIRST?Learn AI search
Overview
AI search often uses semantic or hybrid retrieval to return relevant results. Generation is optional. A result list can be sufficient.
Why this matters
Users describe concepts without exact keyword knowledge.
An everyday example
A librarian understands the subject you mean.
A technical example
/search?q=accident+paperwork returns authorized policy sections.
How it works
- Validate query
- Filter scope
- Semantic/keyword search
- Rank
- Return excerpts/links.
Architecture and flow
UI search → Node → hybrid index → source results.
The insurance assistant example
Find relevant claim document checklists.
When to use it
Discovery and direct evidence access.
When to avoid it
Do not add generation when users only need source navigation.
Interview answer
“Semantic search improves discovery; an LLM answer is an optional layer after retrieval.”
Benefits, trade-offs, and production considerations
Search-only can be faster, cheaper, and easier to verify. Recheck source access when opening results.
Adapted from 13_AI.MD · “AI search”. Code examples are study fragments. Difficulty and core labels are editorial estimates; version-specific behavior should be checked against your project.