# Define schema (vertices = Person, edges = KNOWS) schema = """ CREATE NODE TABLE Person ( id INT PRIMARY KEY, name STRING, age INT, city STRING );
Kuzu is a high-performance management system. Unlike traditional client-server databases (like Neo4j), Kuzu runs within your application process, providing extremely low latency for graph traversals and queries. kuzu v0 136 full
The feature set highlights how the engine natively supports modern AI pipelines without needing external vector databases or auxiliary indexing tools: # Define schema (vertices = Person, edges =
Because it is an embedded library, there are no database servers to manage. Simply pip install kuzu and you are ready to query. 3. Powerful Query Language Simply pip install kuzu and you are ready to query
Kùzu represents a new generation of data tools—intelligent, integrated, and incredibly fast. Whether you are a data scientist exploring connected data, a developer building the next great social platform, or an engineer working on fraud detection, Kuzu (and its future forks) offers a compelling solution.
: This version continues to refine its HNSW vector index and full-text search , making it a powerhouse for RAG (Retrieval-Augmented Generation) and AI applications.