LoraDB

What it does

LoraDB is an embedded graph database for connected systems. Built in Rust, it runs in-process, speaks a Cypher-like query language, and now supports first-class vector values for graph-shaped AI retrieval. Store relationships, entities, and embeddings in one engine across Rust, Node.js, Python, WASM, Go, Ruby, or HTTP.

LoraDB is an embedded, Rust-native graph database with a Cypher-like engine — built for AI agents, robotics, and context-rich systems that reason over connected data.

LoraDB is an in-process graph store with a Cypher-like query engine — small enough to embed in an agent, a robot, or a stream processor, and expressive enough to model the relationships those systems actually depend on. MATCH (a:Agent)-[:REMEMBERS]->(c:Context) -[:ABOUT]->(e:Entity) WHERE c.updated_at > temporal.now() - 'PT1H'::DURATION RETURN e.id, collect(c.summary) AS recent_context The shape of the problem Relational stores fight relational questions. Document stores fight evolving relationships. Graph platforms are often disproportionate — a service, a protocol, and a TCO that only pays off at scale, when all you wanted was a graph data structure next to the code that uses it. LoraDB…from loradb.com

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