Kuzu V0 120 //free\\

Kùzu distinguishes itself through an "embedded" architecture similar to DuckDB, but optimized for graph relationships: Vectorized Processing

This guide covers the most impactful changes in Kuzu 0.12.0, how they affect your current workflows, and how to leverage the new capabilities.

Originally a research project at the , Kùzu was designed to handle complex, join-heavy analytical workloads on very large datasets. Its key features include: kuzu v0 120

(HNSW indices) alongside native full-text search, making it a powerful backend for Retrieval-Augmented Generation (RAG). kuzudb/kuzu: Embedded property graph database ... - GitHub

function and several new data types to improve interoperability. Architecture & Design kuzudb/kuzu: Embedded property graph database

conn.execute("CREATE REL TABLE Knows(FROM Person TO Person, since INT64)")

Introduced compressed relationship tables alongside a new string dictionary compression algorithm to reduce the database's physical footprint. Binary Size Reduction: Optimized the core engine to achieve over a 60% reduction in binary sizes. Factorized Query Processing: Binary Size Reduction: Optimized the core engine to

You can use the ~= operator (or specific vector functions) to find the closest matches to a query vector.

A modern scheduling framework that dynamically balances execution workloads across available CPU cores.