# Define schema (vertices = Person, edges = KNOWS) schema = """ CREATE NODE TABLE Person ( id INT PRIMARY KEY, name STRING, age INT, city STRING );
It integrates seamlessly with the wider data ecosystem, including tools like Pandas , DuckDB , PyTorch Geometric, and LangChain. Installation and Quick Start kuzu v0 136 full
# Search for a keyword search_res = conn.execute(""" MATCH (p:Person) WHERE p.bio MATCH_TEXT 'graph' RETURN p.name, p.city; """).fetchall() print(search_res) # Define schema (vertices = Person, edges =
Since (released mid-2024) represents a specific iteration of the "Kuzu" graph database management system, this paper is drafted as a technical overview or release white paper. It highlights the features, architectural principles, and performance benchmarks relevant to this specific version. : Designed to integrate seamlessly with AI pipelines,
: Designed to integrate seamlessly with AI pipelines, supporting frameworks like PyG (PyTorch Geometric) Performance
Kùzu v0.13.6 is an in-process graph database management system designed for high-performance analytical queries, featuring advanced vector search capabilities for AI applications and seamless integration with DuckDB. Key technical highlights of the v0.13.x release series include improved memory management for large datasets and optimized query execution for complex, multi-hop graph analysis. Learn more about the Kùzu graph database system.