Templates / Answer masked customer support tickets with Claude and Google Gemini RAG

Answer masked customer support tickets with Claude and Google Gemini RAG

Ready for 3.0

by 久保田 卓磨 ✓ · 1 views · created 2026-10-08 · Support Chatbot, AI RAG

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 32 nodes and runs when an HTTP POST request hits its webhook URL (plus 2 other triggers). Along the way it connects Anthropic and Embeddings Google Gemini.

How it runs

Trigger: When an HTTP POST request hits its webhook URL (plus 2 other triggers).

  1. Normalize and mask input (Code): runs custom JavaScript code
  2. Get the case (Data table): get
  3. Get learned Q&A (Data table): get
  4. Search similar Q&A (Simple Vector Store): searches the Simple vector store, with embeddings: Embeddings Google Gemini
  5. Validate and mask with regex (Code): runs custom JavaScript code
  6. Drop empty rows (Code): runs custom JavaScript code
  7. Check similarity (Code): runs custom JavaScript code
  8. Accepted? (If): checks a condition and branches into true / false
  9. Rebuild: add to vector store (Simple Vector Store): stores documents in the Simple vector store, with embeddings: Embeddings Google Gemini; document loader: Default Data Loader
  10. Similar answer found? (If): checks a condition and branches into true / false

…plus 17 more steps. See the full node list below.

Services it uses

AnthropicEmbeddings Google Gemini

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (8)

From the author

Quick overview This workflow receives support inquiries via webhook, masks personal data, searches similar past Q&A in an in-memory vector store using Google Gemini embeddings, and uses Anthropic Claude to draft safe auto-replies when confidence is high while…

Excerpt from 久保田 卓磨's description on n8n.io.

View the original on n8n.io → Check your own copy

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