Demo of knowledge graph creation and Graph RAG with BAML and Kuzu
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Updated
Sep 17, 2025 - Python
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
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.
Graph RAG workshop using Kùzu and LanceDB for hybrid RAG
Knowledge graph + MCP tool server for LLM agents with hybrid retrieval, live DB sync, Korean FTS, and memory feedback.
Example code to create high-quality knowledge graphs using entity resolution with Kuzu and Senzing
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
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
Data and code for Nobel Laureate academic genealogy network analysis and entity resolution
Unified hybrid memory engine for AI agents combining graph (Kuzu) and vector (ChromaDB) databases for cognitive state tracking
Reproducible multi-sensor NDR instrument (C++20). Correlates aRGus (ML) + Suricata + Zeek + Wazuh into a Kuzu graph by community_id; characterizes each lens's bias vs labelled ground truth. A forensic record of where ML-for-NIDS actually fails. Research artifact, not production.
Thin Rust knowledge-graph service over LadybugDB. Logical successor to the Python graphiti fork.
Persistent memory for your AI coding agent. A local graph your agent maintains. Nothing leaves your machine.
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