Search: when the database stops being enough
Try simple first
For lists of thousands of records, a query with the right index is entirely enough. Add a dedicated search engine when there's a real need for relevance ranking, autocomplete, or filtering across dozens of fields at once.
What sets quality
Language processing: tokenization, handling full and defective spelling, abbreviations and synonyms. In Hebrew that's the main gap between search that feels smart and search that's frustrating.
Ranking: not just word matching but freshness, popularity and the user's context. Start simple and improve by what people actually search for.
Sync
The index is a copy. Define how it updates — by event or by periodic scan — and how to rebuild it from scratch. An index you can't rebuild is a time bomb.
Going deeper
Monitor what's searched and what returns zero results. The list of empty searches is the cheapest roadmap to improvement — it shows both content gaps and synonym gaps, without having to ask anyone.