AI, XR, DevOps, graph theory, knowledge graphs, and digital sovereignty. Deep dives, tutorials, and analysis from across the GraphWiz knowledge base.
A practical guide to building recommendation engines with Neo4j knowledge graphs — collaborative filtering with Cypher, content-based traversal patterns…
A comprehensive graph data science analysis of 282 papers on LLM agent memory — network graph metrics, degree centrality, publication velocity,…
Mind Lab's Macaron-V1 uses a Mixture-of-LoRA architecture with separate specialists for chat, agent, coding, and UI tasks.…
A practical guide to deploying GraphRAG in production — covering architecture patterns, cost modelling, incremental indexing, query routing, and the…
A practical guide to fraud detection with graph databases — from ring detection and link analysis to real-time scoring with Neo4j, covering the graph…
From collaborative filtering to hybrid architectures — a practical guide to building production recommendation systems with Neo4j, covering graph…
The ICLR 2026 paper 'When to Use Graphs in RAG' introduces GraphRAG-Bench, a comprehensive benchmark that reveals when GraphRAG outperforms vanilla RAG…
A practical guide to fine-tuning open source LLMs in production — when to fine-tune, LoRA vs QLoRA vs full fine-tuning, tooling landscape, data quality…
Thinking Machines released Inkling, a ~1T-parameter open multimodal model with native image, text, and audio understanding, a 1M context window, and MTP…
A practical guide to community detection algorithms — Louvain, Leiden, Label Propagation, and K-Clique — with Cypher and Python examples, evaluation…
How an autonomous AI agent discovered 21 previously unknown vulnerabilities in FFmpeg — the media library inside almost everything that plays video.…
Deep-dive into Claude Fable 5 and Claude Mythos 5: Mythos-class architecture, safety classifier design, benchmark analysis vs Opus 4.8 / GPT-5.5 /…
Poolside's Laguna S 2.1 is a 118B-parameter MoE coding model with 8B active parameters, a 1M-token context, and thinking mode.…
A hands-on guide to running graph algorithms in Neo4j using the Graph Data Science library — PageRank for influence, shortest path for routing, and…
A practical guide to graph data modeling with Neo4j — labels, relationships, hyperedges, time-aware graphs (temporal properties, snapshot nodes, event-…
VIDRAFT's Aether-7B-5Attn is a 100% open-source foundation model with five distinct attention mechanisms arranged on a Latin square.…
How to trace, evaluate, and monitor LLM applications in production — from prompt versioning and eval suites to cost tracking and drift detection.
Runtime monitoring and instrumentation for LLM applications — OpenTelemetry GenAI semantic conventions, streaming metrics, LLM gateway patterns, multi-…
Get notified when I publish new articles on AI infrastructure, DevOps, and XR development.