Kùzu continues to advance in the AI space, with improved approximate nearest-neighbour (HNSW) indexing, which allows efficient vector search alongside graph querying.
: Use tools like G6 or Cytoscape to present Kuzu's graph output visually. Making the data "better" often means making it more interpretable for the end user.
Following the acquisition, the open-source project underwent a significant shift: Rebranding to LadybugDB : The open-source repository was renamed to Version v0.12.0 Release
Standard ceramic grains wear down into flat, friction-inducing plateaus. The Kuzu V0 grain features a proprietary titanium nitride nano-coating that promotes "micro-chipping." As the grain rotates, small chips flake off, revealing a fresh apex. This means a 120-grit wheel behaves like a 120-grit wheel for its entire life, rather than degrading to a 320-grit.
Added , allowing you to query Python data structures without manual conversion.
Other significant features and improvements in this release include: Filtered Vector Search : You can now perform vector searches filtered by arbitrary queries, making it easier to refine AI/ML retrieval tasks. Performance Improvements : Significant speed enhancements were made for recursive queries (common in pathfinding) and JSON scanning Mutable Indices