OpenAI Personal Shopper with RAG and WooCommerce
Configured with Agent, Chat Trigger, Document Default Data Loader, Embeddings Open Ai, and additional nodes. Review the connections and setup before adapting this template.
Node categories in this workflow
- Trigger
- Data store
- Integration
- Transform
- AI & models
- Files / media
- Web / API
Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.
Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.
How it works
The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.
| Node | Category | Type | Operation |
|---|---|---|---|
| When chat message received | Trigger | Chat Trigger | See node parameters |
| Window Buffer Memory | Data store | Memory Buffer Window | See node parameters |
| Calculator | Integration | Tool Calculator | See node parameters |
| Edit Fields | Transform | Edit Fields | See node parameters |
| OpenAI Chat Model | AI & models | OpenAI Chat Model | See node parameters |
| RAG | AI & models | Tool Vector Store | See node parameters |
| Qdrant Vector Store | Data store | Vector Store Qdrant | See node parameters |
| Embeddings OpenAI | AI & models | Embeddings Open Ai | See node parameters |
| OpenAI Chat Model1 | AI & models | OpenAI Chat Model | See node parameters |
| personal_shopper | Integration | Woo Commerce Tool | getAll |
| Information Extractor | AI & models | Information Extractor | See node parameters |
| OpenAI Chat Model2 | AI & models | OpenAI Chat Model | See node parameters |
| Google Drive2 | Files / media | Google Drive | fileFolder |
| Google Drive1 | Files / media | Google Drive | download |
| Embeddings OpenAI3 | AI & models | Embeddings Open Ai | See node parameters |
| Default Data Loader2 | Files / media | Document Default Data Loader | See node parameters |
| Token Splitter1 | Transform | Text Splitter Token Splitter | See node parameters |
| When clicking ‘Test workflow’ | Trigger | Manual Trigger | See node parameters |
| HTTP Request | Web / API | HTTP Request | POST |
| Qdrant Vector Store1 | Data store | Vector Store Qdrant | See node parameters |
| AI Agent | AI & models | Agent | See node parameters |
Setup
- Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
- Connect your own credentials through n8n’s credential store. Replace
REPLACE_WITH_*values with your resource identifiers. - Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
- Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.
Requirements
An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.
Credential types declared in the source
googleDriveOAuth2ApihttpHeaderAuthopenAiApiqdrantApiwooCommerceApi
Workflow notes
Sticky Note
Replace the URL and Collection name with your own
Step 1
Step 1
Create a collectiopn on your Qdrant instance. Then create a basic RAG system with documents uploaded to Google Drive and embedded in the Qdrant vector database
Step 1
Step 1
Create a basic RAG system with documents uploaded to Google Drive and embedded in the Qdrant vector database
Step 2
Step 2
The Information Extractor tries to understand if the request is related to products and if so, it extracts the useful information to filter the products available on WooCommerce by calling the "personal_shopper". If it is a general question, the RAG system is called
OpenAI Personal Shopper with RAG and WooCommerce
OpenAI Personal Shopper with RAG and WooCommerce
Purpose and structure
This folder contains the OpenAI Personal Shopper with RAG and WooCommerce workflow. Its executable nodes use agent, chatTrigger, documentDefaultDataLoader, embeddingsOpenAi, googleDrive, httpRequest, informationExtractor, lmChatOpenAi, manualTrigger, memoryBufferWindow, set, textSplitterTokenSplitter, toolCalculator, toolVectorStore, vectorStoreQdrant, wooCommerceTool. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.
Setup
Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.
Entry points
When chat message received, When clicking ‘Test workflow’
Verification
Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.
Attribution
https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Woocommercetool/1857_Woocommercetool_Manual_Automation_Webhook.json MIT; preserve source notices.