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SQLite is Enough. Lexical, Semantic, and Hybrid Search with scrydb

arXiv · AI, language, vision and robotics · article · Aug 25, 2026 · UTC

This work introduces scrydb, a Python library that enables lexical, semantic, and hybrid search within SQLite. For lexical search, scrydb leverages SQLite's full-text search extension FTS5. Semantic search builds on sqlite-vec, a SQLite extension for vector search. Furthermore, the library allows users to rerank and fuse retrieval results to combine both lexical and semantic approaches, providing a lightweight solution for downstream tasks in information retrieval (IR) or agentic search. We evaluate scrydb on various IR benchmark datasets and demonstrate its effectiveness in text retrieval bas

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Evidence & attribution

First collected: 2026-09-21T10:22:00.206Z. This is not the publication date.