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: Easily convert between data types directly in your Cypher queries.

: Includes built-in support for vector indices (HNSW), facilitating GraphRAG and AI-driven workflows. Multi-core Parallelism

Kuzu v0.120 is an exciting release that showcases the project's commitment to performance, scalability, and ease of use. With its improved Cypher query performance, enhanced data import and export capabilities, and expanded support for data types, Kuzu is an attractive choice for developers and data enthusiasts looking for a powerful graph database solution. kuzu v0 120 best

If you are a data scientist, a backend engineer building a new application, or a researcher who needs a fast, in-process graph engine that works seamlessly with your Python data stack, Kùzu/LadybugDB is not just a good choice; it's arguably the best. It offers an unparalleled blend of performance, simplicity, and power, making graph database technology accessible and practical for a whole new generation of applications.

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Kùzu v0.12.0 introduced several key features that enhance its capabilities as an embedded graph database, particularly focusing on search flexibility, metadata management, and internal performance. Major Features & Improvements Wildcard Full-Text Search (FTS) Kùzu v0.12.0 release

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# Create a graph g = db.graph('my_graph')

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Compare its against traditional databases like Neo4j?

Kùzu v0.12.0 is a significant update for this high-performance, embeddable graph database, focusing on enhancing analytical workloads and internal performance . Originating from academic research at the University of Waterloo