Search & Knowledge
Semantic Search
Search by meaning, not just keywords.
Common use cases
- Site search
- Internal knowledge search
- Product discovery
Why this fits
- Catalogs and docs where keyword search clearly fails
Watch-outs
- Cases that need conversational answers (use RAG instead)
Key features
- Meaning-based ranking with embeddings
- Hybrid keyword + vector retrieval
- Re-ranker for the top results
- Click-through and zero-result analytics
- Per-source access filtering
Key benefits
- Help users find what they actually meant
- Lift conversion from search sessions
- Reduce support tickets from failed self-serve
Business view
Effort
Small
Time to value
3-6 weeks
Category
Search & Knowledge
Expected outcomes
- Better find-rate
- Higher conversion from search
ROI levers
- Revenue per search session
- Self-serve deflection
Try it
Live demoA lightweight, real AI demo powered by Lovable AI. Inputs are sent to a hosted model — keep it short.
Searches an 8-doc help center by meaning, not keywords.
Try an example
Recommended approach
Hybrid search (BM25 + vectors) with a re-ranker for the top results.
Pilot plan — next steps
- 01Instrument current search
- 02Set a relevance benchmark
- 03Run hybrid against keyword baseline