AI, XR, DevOps, graph theory, knowledge graphs, and digital sovereignty. Deep dives, tutorials, and analysis from across the GraphWiz knowledge base.
Case study: CGC and Agentflow produced a ten-task port plan mapping an OnlyOffice-derived C++ engine to Rust/WASM for World-Office.
Agent skills spread by copying, not by declaring dependencies, so the graph that matters does not exist. Reconstructing 2.19M copy edges from git history shows stars point at the wrong repositories and upstream fixes never reach the copies.
The first generation of GraphRAG used LLM-generated community summaries — powerful but prohibitively expensive. The 2026 generation replaces LLM-driven retrieval with algorithmic graph exploration, cutting query cost by 99% and latency by 100× while matching or beating the originals on quality.
A deploy failed the health check with curl exit 28 — a timeout — even though the service was fine seconds later. The difference between a warm-up artifact and a real outage, and how to add retry/backoff so CI smoke checks stop failing on cold-start latency.
Distributed graph processing is the thinnest cell in graph research — Pregel lineage, trillion-edge systems, when distributed is the wrong tool.
Natural-language-to-graph-query is the fastest-moving cell in graph research: GQLBench, dialect diversity, agentic tooling, production expectations.