The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.
LLM-managed personal knowledge base. Auto-extracts from git repos, Claude Code sessions (via ccrider FTS5), and iMessage bookmarks. Cross-project, qmd-indexed, runs on cron
A fast embedded+server columnar database with SQL, vector search, full-text search, and AI-native retrieval. Dozens of languages supported. Written in Rust.
A thin cgo binding over the Xapian C++ search library — writable/read databases, documents, queries and search, with Xapian exceptions surfaced as Go errors.