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Understand broader language without losing exact intent.
Use hybrid keyword and meaning-led retrieval to connect the way shoppers describe a need with the products and facts your catalog actually contains.
The relevance balance
Broaden the language. Protect the evidence.
Meaning-led candidates can help with unfamiliar phrasing, but exact codes, variant facts, availability, and merchant constraints still need a clear boundary.
Language
Interpret
Keyword
Anchor
Meaning
Broaden
Profile
Bound
Result
Explain
The merchant answer
Semantic search is most useful when the shopper’s wording and the catalog’s wording are different. ParticleSearch keeps that broader recall bounded by exact identifiers, catalog eligibility, filters, and a merchant-chosen search profile.
Guides and field notes
Go deeper when the decision needs detail.
Use these practical guides for the context, merchant decisions, and acceptance tests behind the capability you are evaluating.
Lexical vs semantic guide
Understand hybrid retrieval and how to test it safely.
Semantic search rollout guide
Check eligibility, ownership, surfaces, and query sets.
Search profiles guide
Choose a starting posture from catalog risks and buyer jobs.
SKU and barcode guide
Protect exact identifiers while broader retrieval is enabled.
The path
Make unfamiliar wording useful without making search vague.
The goal is not to replace keyword evidence. It is to give a shopper more ways to reach the right eligible product while preserving the facts that make the result trustworthy.
Start with a catalog-aware profile
Choose a profile for balanced, precise, discovery-led, variant-rich, technical, or content-rich search, each with a different semantic posture.
Blend meaning with hard evidence
Keep exact identifiers, variant fields, availability policy, filters, and source eligibility in the decision while semantic candidates broaden language coverage.
Review the query you are trying to improve
Use match evidence, zero-result recovery, protected queries, and live-versus-draft checks to decide whether broader retrieval actually helps the buying job.
Decision guide
Questions this capability should answer
Use these questions to decide whether this capability is the right next move for your store.
Does the shopper use different words than the catalog?
Test natural-language descriptions, use cases, category language, and adjacent terms where exact keyword matching leaves a real gap.
Will exact lookup remain dependable?
Protect identifiers, options, availability, and golden queries before widening the semantic posture.
How broad is broad enough?
Choose the smallest profile and threshold that improves the target query set without introducing unrelated products or hiding source-data problems.
What is included
Meaning-led retrieval with merchant guardrails
Use semantic capability where it solves a language gap, then keep the result explainable enough for a merchant to review and a shopper to trust.
Hybrid keyword and meaning retrieval
Combine lexical evidence with semantic candidates so broader phrasing can help without discarding exact product language.
Profile-bounded relevance
Tune semantic influence, candidate depth, and distance thresholds through six coordinated search profiles.
Exact identifier protection
Keep SKU, barcode, model, and other exact product facts anchored even when broader discovery is enabled.
Bounded recovery
Pair semantic retrieval with typo tolerance, long-query recovery, zero-result paths, and query-aware suggestions.
Catalog and filter constraints
Respect eligibility, availability, collection context, and useful filter signals instead of treating semantic similarity as permission to ignore them.
Inspectable match context
Keep query diagnostics and compact match evidence available when the title alone does not explain the result.
A useful boundary
Good product decisions include what the feature cannot solve.
ParticleSearch gives your team more evidence and control. It does not remove the need for accurate product data, a clear merchandising goal, or a review of the result on your own store.
- Semantic search does not replace accurate titles, variant data, identifiers, availability, or useful catalog metadata.
- Broader similarity is not proof of relevance. Review protected queries, match evidence, filters, and the actual storefront handoff before publishing a wider posture.
- Semantic search is configurable and profile-bounded. Results depend on the merchant catalog, enabled settings, market, locale, and query context.
Keep exploring
See how this fits with the rest of the product.
See it on your store
Give your team a clearer way to improve search.
Install through Shopify, enable the app embed in your published theme, and run one proof check on your own storefront. Eligible Shopify installs · Shopify confirms trial eligibility before approval. Billing remains handled through Shopify.