GoKawiilNew embedded database LatticeDB combines graph, vector and text search in one file
LatticeDB is a new single-file, embedded property-graph database that supports graph traversal, HNSW-based vector similarity search, and BM25 full-text search through one unified query language. It requires no server or configuration, targets single-machine relationship-heavy workloads, and shares its transaction log across graph writes and event streams for durability.
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By merging graph, vector, and text search into a single embedded engine, LatticeDB simplifies architectures for applications like retrieval-augmented generation and agent memory that would otherwise require stitching together multiple specialized databases. Its SQLite-like, zero-config design could make sophisticated relationship-and-semantic search accessible to local-first and single-developer projects without infrastructure overhead.
- LatticeDB unifies graph traversal, vector search, and full-text search in one embedded, single-file database.
- It requires no server setup, targeting local-first apps with a single-writer model and WAL-backed durability.
- Built-in event streams and changefeeds make it suited for use cases like Graph RAG and AI agent memory.
Samsung T7 Portable SSD — A single-file embedded database like LatticeDB is perfectly at home on a fast portable drive you can carry the whole graph, vectors and full-text index in one file between machines. The Samsung T7 is compact, USB-C, and shock-resistant, making it a solid companion for local-first development and Graph RAG experiments.
See Samsung T7 Portable SSD on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: github.com, 2026-08-25
Published there as: “LatticeDB – Like SQLite but for graph databases”
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