: A novel query processor that handles data in blocks, allowing for faster joins and minimized intermediate results.
If you'd like, I can to show how to use the new algorithms, or explain how to configure the Android build . Let me know how you'd like to proceed! Releases · kuzudb/kuzu - GitHub kuzu v0 120
To understand the impact of the v0.12.0 updates, it helps to look at Kùzu's underlying architecture. Kùzu distinguishes itself from traditional server-based graph databases through several design choices: : A novel query processor that handles data
One of the most practical applications of Kùzu v0.1.20 is as a knowledge graph backend for AI agents and retrieval-augmented generation (RAG) systems. LangChain, a popular framework for building applications with large language models (LLMs), can be seamlessly integrated with Kùzu. Releases · kuzudb/kuzu - GitHub To understand the
┌──────────────────────────────────────────────────────────┐ │ Your Application Process │ │ │ │ ┌──────────────────────────────────────────────────┐ │ │ │ Cypher Query Engine │ │ │ │ (Vectorized & Factorized Execution) │ │ │ └────────────────────────┬─────────────────────────┘ │ │ ▼ │ │ ┌──────────────────────────────────────────────────┐ │ │ │ Graph Storage Manager │ │ │ │ (Columnar Layout + CSR Adjacency Indices) │ │ │ └────────────────────────┬─────────────────────────┘ │ └────────────────────────────┼─────────────────────────────┘ ▼ ┌─────────────────────────┐ │ Persistent Disk / OS │ └─────────────────────────┘ 1. Vectorized and Factorized Execution The Future of Graph Databases (w/ The Founder of KuzuDB)
It runs within your application process, eliminating the latency and complexity of managing a separate database server.
Expressive feature highlights (with brief examples)