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Phase 2 Reference Source Index

This file records the publicly available materials collected so far that are most helpful for the phase-2 content. Priority sources are note.com, zenn.dev, and Dify official / Enterprise official public documentation.

I. 2-1 In-Depth Use Cases

1. Manufacturing Equipment Troubleshooting Bot

  • note.com
    • リコー「H.D.E.E.N」が示す暗黙知AI化の本質：4,500エージェントの実績が教える段階的実装の成功法則
      https://note.com/shin48ya/n/n14d3ec2acaf5
  • zenn.dev
    • ローカルLLMの実用性が爆上げ：オフライン環境でも使える …
      https://zenn.dev/taku_sid/articles/20250402_local_llm
  • Notes
    • Public articles specifically covering “Dify + manufacturing equipment troubleshooting” are still scarce. Current evidence mainly comes from the combination of “manufacturing knowledge structuring + diagram-based materials + local deployment.”
  • note.com
    • Human-in-the-Loopの活用事例　Difyでの具体的な運用パターン9選
      https://note.com/nocode_solutions/n/n91655a876f4d
  • zenn.dev
    • Human-in-the-Loopの活用事例 Difyでの具体的な運用 …
      https://zenn.dev/nocodesolutions/articles/62a03c6770b824
    • Human-in-the-Loopの概念をDifyに落とし込み、AIの暴走を …
      https://zenn.dev/nocodesolutions/articles/df0d883c7d1f79
    • DifyとGradioで作るPDF処理ワークフローアプリケーション
      https://zenn.dev/tregu0458/articles/fbd86a6f3b4869

3. Internal Approval Auto-Draft Generation

  • note.com
    • 稟議なんか通せない。だから余ったPCで勝手にAI環境を作ることにした
      https://note.com/kusanone_dx/n/nd2952fe10842
    • 【コスト削減】Difyで実現する企業の業務効率化｜明日から使える事例10選
      https://note.com/sone_ai/n/n65c4c48417ac
  • zenn.dev
    • Human-in-the-Loopの活用事例 Difyでの具体的な運用 …
      https://zenn.dev/nocodesolutions/articles/62a03c6770b824
  • Notes
    • This topic leans toward “internal corporate document automation + approval scenarios.” Direct hits are weak, but content can be assembled from HITL + structured output + the Japanese enterprise ringi (approval) context.

4. Multilingual Customer Service Agent

  • note.com
    • AIエージェントで問い合わせ対応を自動化｜24時間対応を実現する方法
      https://note.com/tateru_ai/n/n919b556b609f
  • Official Docs
    • 知識ベースを使用したカスタマーサービスボット
      https://docs.dify.ai/ja/use-dify/tutorials/customer-service-bot
    • エージェント
      https://docs.dify.ai/ja/use-dify/nodes/agent
    • Agent | Dify
      https://legacy-docs.dify.ai/guides/workflow/node/agent

5. HR Onboarding Document Processing Pipeline

  • note.com
    • Human-in-the-Loopの活用事例　Difyでの具体的な運用パターン9選
      https://note.com/nocode_solutions/n/n91655a876f4d
  • zenn.dev
    • 【脱・OCR】Dify×VLMで、あらゆる画像・PDFを思い通りのJSONに変換する
      https://zenn.dev/nocodesolutions/articles/c7fc07a13a701a
    • DifyとGradioで作るPDF処理ワークフローアプリケーション
      https://zenn.dev/tregu0458/articles/fbd86a6f3b4869
    • Human-in-the-Loopの活用事例 Difyでの具体的な運用 …
      https://zenn.dev/nocodesolutions/articles/62a03c6770b824

II. 2-2 Lessons Learned & Solutions

Retrieval Parameters / Rerank

  • Dify Docs
    • Specify the Index Method and Retrieval Settings
      https://docs.dify.ai/en/guides/knowledge-base/create-knowledge-and-upload-documents/setting-indexing-methods
  • Legacy Docs
    • Re-ranking
      https://legacy-docs.dify.ai/learn-more/extended-reading/retrieval-augment/rerank
    • Integrate Knowledge Base within Application
      https://legacy-docs.dify.ai/guides/knowledge-base/integrate-knowledge-within-application
  • GitHub Discussion
    • Doubt about the topk and threshold usage in rerank stage settings
      https://github.com/langgenius/dify/discussions/3171

Agent Infinite Loops / Max Iterations / Memory

  • Dify Docs
    • Agent
      https://docs.dify.ai/en/use-dify/nodes/agent
  • Legacy Docs
    • Agent
      https://legacy-docs.dify.ai/guides/workflow/node/agent
  • Environment Variables
    • https://docs.dify.ai/getting-started/install-self-hosted/environments

Large File Upload / Environment Variables / Upload Limits

  • Dify Docs
    • Environment Variables
      https://docs.dify.ai/getting-started/install-self-hosted/environments
    • Deploy Dify with Docker Compose
      https://docs.dify.ai/en/self-host/quick-start/docker-compose

III. 2-3 Enterprise Deployment Best Practices

Helm / Kubernetes / values.yaml

  • Dify Enterprise Docs
    • Dify Helm Chart
      https://enterprise-docs.dify.ai/en-us/deployment/advanced-configuration/dify-helm-chart
    • Deployment FAQ
      https://enterprise-docs.dify.ai/en-us/deployment/faq/deploying
    • Kubernetes
      https://enterprise-docs.dify.ai/en-us/deployment/prerequisites/kubernetes
    • Resources Checklist
      https://enterprise-docs.dify.ai/versions/3-7-x/en-us/deployment/resources-checklist

License

  • Dify Enterprise Docs
    • License Activation
      https://enterprise-docs.dify.ai/versions/3-0-x/en-us/deployment/license-activation

High Availability / Production Deployment

  • Alibaba Cloud Community
    • High Availability and Performance: Best Practices for Deploying Dify based on ACK
      https://www.alibabacloud.com/blog/high-availability-and-performance-best-practices-for-deploying-dify-based-on-ack_601874

IV. Raw Crawl Files

Materials crawled and saved in this round are located at:

  • research-public/
  • phase-2/2-1/sources/

If you want to further deepen phase-2 going forward, the recommended next steps for crawling are:

  • Full text of the strongest-matching official docs from 2-2 and 2-3
  • More Japanese enterprise blog posts covering Dify / RAG / Workflow / HITL implementation cases