# Query to find users interacting with specific feature categories result = conn.execute(""" MATCH (u:User)-[r:InteractsWith]->(f:Feature) WHERE f.category = 'Recommendation' RETURN u.name, r.weight, f.id """) while result.has_next(): print(result.get_next()) Use code with caution. Ideal Use Cases for Kùzu v0.13.6
In this comprehensive deep dive, we will explore the core architecture of Kùzu, unpack the new features and fixes introduced in version 0.13.6, and demonstrate how to get started building high-performance graph applications. What is Kùzu? kuzu v0 136
Uses the industry-standard Cypher query language. # Query to find users interacting with specific
+------------------------------------------------------------------------+ | KÙZU GRAPH ENGINE ARCHITECTURE | +------------------------------------------------------------------------+ | Query Interface: Cypher (Standard Graph Query Language) | +------------------------------------------------------------------------+ | Execution Engine: Factorized Joins | Morsel-Driven Parallelism | +------------------------------------------------------------------------+ | Storage Layer: Single-file Database | Columnar Layout | CSR | +------------------------------------------------------------------------+ High-Performance Feature Set kuzu-swift - Swift Package Index Uses the industry-standard Cypher query language
tuples. Kùzu's factorized execution keeps these structures compressed in memory as algebraic representations, computing properties structures structurally rather than unrolling them unnecessarily. Dual-Indexed Adjacency Lists