Benchmark study on Kuzu, an embedded graph database, on an artificial social network dataset
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Updated
Apr 2, 2025 - Python
Benchmark study on Kuzu, an embedded graph database, on an artificial social network dataset
Graph RAG workshop using Kùzu and LanceDB for hybrid RAG
KuzuDB fork maintained by Vela Partners. Embedded graph database for AI agent memory with concurrent multi-writer support. 374x faster than Neo4j on path queries. Cypher, vector search, full-text search. In-process, zero infrastructure. MIT licensed.
The open-source adapter for working with Kuzu databases and cypher queries in jupyter notebooks leveraging the yFiles Graphs for Jupyter plugin.
Local-first code intelligence for AI agents. Transform your codebase into a queryable knowledge graph. 85% token savings for Claude Code, Cursor, and MCP-compatible tools.
LangChain-Kuzu integration
Data and code for Nobel Laureate academic genealogy network analysis and entity resolution
Gist/Streamlit app enhanced with embedded KùzuDB for local graph storage, arXiv parsing, and Q&A.
Out-of-the-box enterprise context brain for AI agents — Graph RAG, WebGL 3D console, one-click Docker deploy
VCF Analysis Agent using strands agent SDK and bcftools
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