Sql Based Query Interface With Vector Extensions

via “sql-based-query-interface-with-vector-extensions”

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Unique: Extends SQL with vector operations (KNN, MATCH, FUSION) as first-class query primitives with cost-based query planning, enabling complex queries that combine vector search, filtering, and aggregation in single statement; uses C++20 modules for compile-time query plan specialization.

vs others: More expressive than Pinecone's REST API because SQL enables complex filtering and joins; simpler than Vespa's query language because Infinity uses standard SQL syntax with vector extensions rather than custom DSL.