6 patterns behind natural language search: from LLM intent to Typesense queries
bibryam · x · 2026-11-10
Bibryam published a long-form article walking a natural-language query—combining a topic, a preference, a price limit, an ordering instruction, and a typo—through six patterns (using Typesense) from search index to final results:
- Search Projection Pattern: a retrieval-oriented projection rebuilt from the source-of-truth DB, watch sync lag;
- Intent Translation Pattern: an LLM translates intents like "under $50" into structured queries (price < 50);
- Constraint Enforcement Pattern: application rules (e.g. instock:true) constrain hits;
- Query Relaxation Pattern: exact match → allow typos → drop terms;
- Hybrid Retrieval Pattern: fuse keyword matches with vector similarity;
- Layered Ranking Pattern: layer rating/relevance ordering on top.
Includes working examples—a solid reference for building NL-to-query systems.
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