Content

AI, XR, DevOps, graph theory, knowledge graphs, and digital sovereignty. Deep dives, tutorials, and analysis from across the GraphWiz knowledge base.

Do You Even Need the Graph? An Honest Yield Test Before You Build GraphRAG

Knowledge graphs are fashionable, but most questions don't need them. Before you invest in construction, validation, and orchestration, run an honest yield test: which of your questions actually require joined relationships a vector store can't give you? A framework for deciding when the graph pays and when it's theater.

graphragknowledge-graphvector-searchrag+4 more

September 15, 2026· ~4 min read

Schema Designed for Retrieval: Closing the KG-to-RAG Quality Gap

You built an impressive knowledge graph, but the RAG pipeline still answers worse than a plain vector store. The problem is usually the schema: it was modeled for storage, not for retrieval. How to design graph schemas around the queries your LLM will actually ask, and why retrieval optimization changes modeling decisions.

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knowledge-graph

schema-design

data-modeling

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August 25, 2026· ~6 min read

GraphRAG Evolution: From Naïve RAG to Agentic Context Engineering

GraphRAG has evolved from simple retrieval to sophisticated agentic context engineering. This article explores the ACE-GraphRAG framework that dynamically adapts retrieval context, explaining how it closes the representation-inference gap that plagues traditional GraphRAG implementations.

graphragretrieval-augmented-generationknowledge-graphsagentic-ai+3 more

August 16, 2026· ~4 min read

DocNavRAG: The Document Navigation Pattern That Beats RAG at Long-Form QA

Agents should navigate document structure rather than repeatedly search from scratch. DocNavRAG maintains an evolving evidence state that improves answer quality by 7.8% and context sufficiency by 17.7%.

graphragdocument-qaretrieval-augmented-generationagentic-ai+1 more

August 15, 2026· ~5 min read

ACE-GraphRAG: The Agent Layer That Fixes GraphRAG's Fatal Flaw

GraphRAG has a representation-inference gap that breaks complex queries. ACE-GraphRAG adds an agent layer that adapts context dynamically — here's how it works and why it matters.

graphragagentic-aicontext-engineeringretrieval-augmented-generation+1 more