LatticeDB – Like SQLite but for graph databases
LatticeDB is an embedded, single-file graph database that integrates vector similarity search and full-text indexing. It is designed for local, relationship-heavy workloads like Graph RAG and agent memory.
Why it matters
Simplifies the architecture for local AI applications by combining graph, vector, and text search into a single embedded engine.
Embedded property-graph database with native vector and full-text indexing.
LatticeDB is a single-file local database for connected, semantic, and textual data. It lets you traverse relationships, run vector similarity search, and do BM25 full-text search over the same dataset in one engine and one query layer. It is designed for relationship-heavy workloads on a single machine, with zero-config operation and an embedded single-writer model.
LatticeDB is an embedded, single-file graph database that lets local applications query the same data by relationship, semantics, and text, then consume durable graph and application events from the same file. Workloads like Graph RAG, agent memory, and local knowledge tools are examples built on those primitives, not the definition of the engine.
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