Enterprise Training · Architecture Advisory · Migration Support

Knowledge Graph Training &
Technical Advisory

I help teams build practical capability, make sound architecture decisions, and reduce risk in complex migrations.

A graph visualization centered on Koji Annoura, showing interests, technologies, talks, and community activities

Profile

Practical experience across data, graphs, and system migration.

Koji Annoura is an independent knowledge graph architect and technical advisor based in Fukuoka, Japan.

His work pays close attention to the less visible decisions—data definitions, relationships, validation, and migration details—that often determine whether a system remains reliable.

  • 40+ years in software and data systems
  • Hands-on experience across graph, relational, and AI technologies
  • International speaker and long-term open-source community organizer
Learn more about Koji

Knowledge Design

Knowledge should evolve, not disappear.

Explore SEPT Principles and approaches to preserving meaning, evidence, and different interpretations as knowledge is created, shared, and updated.

Explore Knowledge

Services

01

Enterprise Training & Workshops

Build practical capability through training and workshops connected to real project decisions.

02

Data Modeling & Architecture Advisory

Review the data definitions and architecture decisions that determine whether a system remains understandable and reliable.

03

Migration, Validation & Technical Advisory

Clarify dependencies, inconsistencies, and validation criteria before migration or integration problems become expensive.

Common starting points

You do not need a finished specification to start.

  • You are deciding whether GraphRAG fits a project and how it should work alongside relational or vector search.
  • You want an independent second opinion on a graph model, architecture, or technology choice.
  • You are planning a migration and need to clarify dependencies, validation points, and risks before implementation.

Use what works. Focus on what matters.

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A practical first step.

A polished proposal is not required. A rough architecture sketch, data sample, migration mapping, or list of questions is enough to start.

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