Provide ecommerce support with Qdrant RAG, WooCommerce, and human backup
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 24 nodes and runs when a chat message arrives (plus 1 other trigger). Along the way it connects Qdrant Vector Store, Google Drive, Embeddings OpenAI and OpenAI Chat Model and 5 more. It also calls qdrant_jush:6333 over HTTP.
How it runs
Trigger: When a chat message arrives (plus 1 other trigger).
- Guardrails: uses Guardrails
- Refresh collection (HTTP Request): calls qdrant_jush:6333 (POST)
- E-Commerce Customer Support AI Agent (AI Agent): runs an AI agent, with model: Google Gemini Chat Model; 5 tools (Calculator, rag_search, get_product, get_human_support…); memory: Window Buffer Memory
- Chat: uses Chat
- Get folder (Google Drive): work with file folder
- Chat: uses Chat
- Download Files (Google Drive): download
- Qdrant Vector Store: stores documents in the Qdrant vector store, with embeddings: Embeddings OpenAI; document loader: Default Data Loader
- Create collection (HTTP Request): calls qdrant_jush:6333 (PUT)
Services it uses
HTTP calls to: qdrant_jush:6333
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in E-Commerce Customer Support AI Agent (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) E-Commerce Customer Support AI Agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (18)
- Manual Trigger
n8n-nodes-base.manualTrigger - Qdrant Vector Store
@n8n/n8n-nodes-langchain.vectorStoreQdrant - HTTP Request
n8n-nodes-base.httpRequest - Google Drive
n8n-nodes-base.googleDrive - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Token Splitter
@n8n/n8n-nodes-langchain.textSplitterTokenSplitter - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Calculator
@n8n/n8n-nodes-langchain.toolCalculator - Guardrails
@n8n/n8n-nodes-langchain.guardrails - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Vector Store Question Answer Tool
@n8n/n8n-nodes-langchain.toolVectorStore - Woo Commerce Tool
n8n-nodes-base.wooCommerceTool - AI Agent
@n8n/n8n-nodes-langchain.agent - Gmail Tool
n8n-nodes-base.gmailTool - Chat
@n8n/n8n-nodes-langchain.chat - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger
From the author
This workflow is a complete AI-powered customer support automation for WooCommerce e-commerce websites. It combines conversational AI, Retrieval-Augmented Generation (RAG), vector search, WooCommerce integration, and human escalation into a single intelligent…