Services

Ways to work together

Available as a one-time consultation, 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。

Consulting services

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. 国内外の企業向けに、見積書・請求書の発行にも対応しています。

I support both international and Japan-based engagements. Japanese and English communication are both available.

01

Technical Research

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

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

02

Data Modeling & Design Review

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

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

03

GraphRAG Architecture

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

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

04

Migration Planning & Validation

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

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

05

Internal Training

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

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