# Search Optimization

Search optimization is the discipline of making search both relevant and usable for your users. In Curiosity Workspace, the highest leverage improvements typically come from:

better schema and facets
better field selection and boosts
hybrid retrieval tuned to your domain

# Start with user intent

Build search around:

primary entity types users search for
refinement behavior (what facets do they use?)
common “zero result” queries

# Index only what matters

Index titles, summaries, identifiers, and high-signal descriptive fields.
Remove noisy fields (boilerplate, templates, legal footers).

Facets are how users get from “a lot of results” to “the right results”.

Property facets: status, priority, category, source
Related facets: customer, product, manufacturer, owner (via graph edges)

Related facets are especially powerful because they encode relationship-aware constraints.

# Hybrid search as a default

Keyword-only search struggles with paraphrases and long text. Hybrid search is often the best baseline:

keyword retrieval for precision and identifiers
semantic retrieval for meaning and recall

See Hybrid Search.

# Instrument and iterate

Track:

top queries by volume
click-through (which results get opened?)
facet usage
“no results” rates

Use these signals to tune boosts, facets, and indexing choices.

# Next steps

Tune ranking systematically: Ranking Tuning
Ensure schema supports filtering: Graph Design Patterns

# Search Optimization