Schema Driven Document Indexing With Automatic Field Processing

via “schema-based document indexing with type validation”

🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.

Unique: Uses TypeScript generics to infer document types from schema definitions, providing compile-time type safety for search queries and results. The schema system drives indexing strategy selection (full-text for strings, range for numbers, facets for enums) without explicit configuration per field.

vs others: More type-safe than Lunr.js which has no schema system; simpler than Elasticsearch mapping configuration while still providing field-level optimization; enables IDE autocomplete for search queries unlike untyped alternatives.