Services

Ways to work together

Available as a one-time meeting, design review, internal training, migration planning, or short-term advisory support. 日本語・英語どちらでもご相談いただけます。

Knowledge Graph architecture and data modeling

Starting points

You do not need a detailed requirement document before the first meeting.

A short description of your current situation, goals, or concerns is enough. 技術相談、社内向け説明、PoC前の要件整理や実施方針の検討にも対応しています。

Initial 30-minute meeting
2-hour technical advisory session
Half-day design review
Internal training or workshop
Migration planning and validation
Short-term advisory support

I work with both international and Japan-based teams, and can communicate in Japanese or English.

Technical Research

技術調査・比較検討

Compare graph technologies, standards, database options, and architectural trade-offs before committing to a tool, PoC, or migration path.

日本語での技術調査・比較検討にも対応しています。

Technology comparison notes, risk summary, and practical next-step recommendations.

Evaluate GraphRAG, Neo4j, SQL/PGQ, or GQL adoption
Compare graph technology options before a PoC
Clarify technical risks and decision points

Data Modeling & Design Review

データモデリング・設計レビュー

Review graph data models, RDB-to-graph mappings, Neo4j schemas, GraphRAG data structures, and relationship semantics before implementation.

既存資料や日本語ドキュメントをもとにした設計レビューも可能です。

Review comments, modeling issues, and improvement directions before implementation or PoC.

Review an RDB-to-graph migration model
Check node and relationship design
Clarify modeling issues before implementation

GraphRAG Architecture

GraphRAG設計支援

Design practical GraphRAG architectures around retrieval, context generation, provenance, evaluation, and maintainable knowledge structures.

GraphRAGを単なる検索機能ではなく、実務で使える知識基盤として整理します。

Architecture notes, graph modeling direction, retrieval design, and evaluation viewpoints.

Design a GraphRAG architecture
Compare Vector RAG and GraphRAG roles
Clarify context, evidence, and evaluation design

Migration Planning & Validation

システム移行・データ移行支援

Use graph modeling to clarify system dependencies, data inconsistencies, character encoding issues, validation points, and cutover risks in complex migration projects.

移行時に起きやすい依存関係、不整合、文字コード、切替リスクをグラフで整理します。

Migration risk map, dependency model, validation checklist, and cutover planning support.

Map dependencies across legacy and new systems
Clarify data inconsistency and encoding risks
Prepare validation viewpoints and cutover planning

Internal Training

社内勉強会・技術研修

Run focused sessions for engineering, product, or data teams on graph databases, knowledge graphs, GraphRAG, Cypher, SQL/PGQ, and GQL.

日本語・英語どちらの勉強会、研修、講演にも対応できます。

A lecture, workshop, or discussion session adjusted to your team’s current understanding.

Share graph database basics internally
Explain GraphRAG to engineers and planners
Align stakeholders before a PoC or migration project

Next step

Start with a short technical conversation.

A rough idea, architecture sketch, PoC plan, or migration concern is enough. 日本語・英語どちらでもご相談いただけます。

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