Kuzu V0 136 -

: Introduces an official LLM extension and Azure support, broadening the ecosystem for cloud-native and AI-integrated deployments.

Native support for vector indices (HNSW) and Full-Text Search (FTS) , making it a strong choice for AI-driven applications like GraphRAG.

Queries are processed in vectorized chunks, maximizing CPU cache utilization and hardware efficiency. kuzu v0 136

: Expands language support with a new native API for Swift developers. Why Choose Kuzu?

Connecting structured knowledge graphs to vector databases to give LLMs precise context. : Introduces an official LLM extension and Azure

The v0.136 release is a stabilization and feature iteration update. It addresses community feedback regarding query execution and data ingestion, ensuring that the database remains robust as datasets grow into the billions of nodes and relationships.

Unlike traditional relational databases that use rows and tables, Kuzu uses the property graph model to represent data as: : Expands language support with a new native

Kuzu v0.136 continues to champion this philosophy. It offers:

Kuzu is positioned among several established players in the graph database space. Here's a quick comparison:

async fn create_item( Json(payload): Json<CreateItem>, Query(params): Query<PagingParams>, ) -> Result<Json<Item>, Error> // business logic...