graphwiz.aiAbout graphwiz.ai
graphwiz.ai fills the gap at the intersection of artificial intelligence and graphs — knowledge graphs, graph theory, graph visualization, and the infrastructure that makes them work together. We help organizations build and operate graph-powered AI systems.
Every article on this site reflects hands-on experience with real deployments and implementations. From Neo4j knowledge graphs to interactive Sigma.js visualizations, from GraphRAG architectures to self-hosted LLM infrastructure — this is a living knowledge base of what actually works.
Services & Expertise
Knowledge Graphs & GraphRAG
Neo4j knowledge graph architectures, GraphRAG implementations, and semantic search — grounding LLM responses in structured graph data.
Graph Theory & Algorithms
Graph traversal, centrality metrics, community detection, and graph analytics applied to real-world software engineering and data problems.
Graph Visualization
Interactive graph visualization with Sigma.js, D3.js, and custom WebGL rendering — making complex graph data explorable and understandable.
AI & LLM Infrastructure
Self-hosted LLM deployment, AI agent orchestration, prompt engineering, and the tools that make production AI reliable and scalable.
Featured Projects
Interactive Knowledge Graph
Explore the full tag graph with Sigma.js — pan, zoom, and discover connections across 200+ topics and 800+ relationships.
Knowledge Graph Reporter
Automated article generation pipeline that queries Neo4j and tech RSS feeds to find and publish the hottest topics in AI and graph technology.
GraphRAG Implementation Guide
Retrieval-augmented generation grounded in knowledge graphs — the architecture that makes LLM responses factual and traceable.
Sigma.js Visualization Patterns
Production-ready graph visualization patterns: force-directed layouts, node clustering, edge bundling, and performance optimization.
Get in Touch
For consulting inquiries, partnerships, or just to talk shop.
info@graphwiz.ai