CozoDB
A transactional, relational-graph-vector database that uses Datalog for query, designed as the hippocampus for AI.
What is CozoDB?
CozoDB is a transactional, multi-model database that integrates relational, graph, and vector data, using Datalog as its query language. It solves the problem of managing interconnected and high-dimensional data in a single system, enabling complex queries like recursive graph traversals and vector similarity searches seamlessly. It is designed to be embeddable across environments—from browsers to servers—while scaling for performance and concurrency.
Developers building AI applications, graph analytics, or data-intensive systems that require unified relational, graph, and vector operations in an embeddable or scalable database.
Developers choose CozoDB for its unique combination of Datalog's expressiveness, multi-model flexibility, and embeddability—offering graph algorithms, vector search, and time travel in a single transactional database without sacrificing performance.
Overview
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
Use Cases
Best For
- Building AI applications that require integrated vector similarity search and graph reasoning
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