Demo of knowledge graph creation and Graph RAG with BAML and Kuzu

Benchmark study on Kuzu, an embedded graph database, on an artificial social network dataset

Graph RAG workshop using Kùzu and LanceDB for hybrid RAG

Example code to create high-quality knowledge graphs using entity resolution with Kuzu and Senzing

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.

Getting started with BAML for creating and querying knowledge graphs with LLMs

REST-style API server for the Kuzu graph database powered by Express.js.

Code from the ODSC Agentic Graph RAG workshop combining vector, FTS & graph retrieval for RAG. Includes observability and guardrails for evaluating outputs.

Intro to using DSPy with Kuzu to enrich the data within the Nobel Laureate mentorship network

LangChain-Kuzu integration

Experiments and benchmarks with Text2Cypher for Graph RAG

Kuzu Graph data exporter to CSV, and loader to FalkorDB

Data and code for Nobel Laureate academic genealogy network analysis and entity resolution

Persistent memory for your AI coding agent. A local graph your agent maintains. Nothing leaves your machine.

Demo of uv for a streamlined Python package management experience

Graph-based memory abstraction layer for AI agents

🧠 Universal long-term memory for AI agents. GraphRAG-powered knowledge base with vector search + graph traversal. Privacy-first, local-only, MCP-compatible. Connect Claude, Copilot, or any AI assistant.

A GraphDB using Kuzu for Godot

Poly-QL: AI-powered natural language to SQL/Spark/Pandas query engine with schema explorer, join path explorer, and multi-LLM provider support