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OpenAI Personal Shopper with RAG and WooCommerce

25 nodes · chat, memoryBufferWindow, toolCalculator, lmChatOpenAi, toolVectorStore, vectorStoreQdrant

Engine
n8n
Nodes
25
Trigger
scheduled/triggered
Source file
1857_Woocommercetool_Manual_Automation_Webhook.json

Workflow flow

IntegrationsChatMemoryBufferWindowToolCalculatorLmChatOpenAiToolVectorStoreVectorStoreQdrantEmbeddingsOpenAiWooCommerceToolInformationExtractorGoogle DriveDocumentDefaultDataLoaderTextSplitterTokenSplitter+15 more
100%
TRIGGER

When chat message received

@n8n/n8n-nodes-langchain.chat

Window Buffer Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

Calculator

@n8n/n8n-nodes-langchain.toolCalculator

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

RAG

@n8n/n8n-nodes-langchain.toolVectorStore

Qdrant Vector Store

@n8n/n8n-nodes-langchain.vectorStoreQdrant

Embeddings OpenAI

@n8n/n8n-nodes-langchain.embeddingsOpenAi

OpenAI Chat Model1

@n8n/n8n-nodes-langchain.lmChatOpenAi

personal_shopper

WooCommerceTool

OpenAI Chat Model2

@n8n/n8n-nodes-langchain.lmChatOpenAi

Embeddings OpenAI3

@n8n/n8n-nodes-langchain.embeddingsOpenAi

Default Data Loader2

@n8n/n8n-nodes-langchain.documentDefaultDataLoader

Token Splitter1

@n8n/n8n-nodes-langchain.textSplitterTokenSplitter

TRIGGER

When clicking ‘Test workflow’

Manual

Edit Fields

Set

HTTP Request

HTTP

Information Extractor

@n8n/n8n-nodes-langchain.informationExtractor

Google Drive2

Google Drive

Google Drive1

Google Drive

AI Agent

@n8n/n8n-nodes-langchain.agent

Qdrant Vector Store1

@n8n/n8n-nodes-langchain.vectorStoreQdrant

21 steps · flows top to bottom, branches left to right

Browse by integration

chatmemoryBufferWindowtoolCalculatorlmChatOpenAitoolVectorStorevectorStoreQdrantembeddingsOpenAiwooCommerceToolinformationExtractorgoogleDrivedocumentDefaultDataLoadertextSplitterTokenSplittermanualhttpRequestagent
Browse all integrations →
Download n8n JSONDownload sanitized JSONDownload flow graph

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

OpenAI Personal Shopper with RAG and WooCommerce is a free n8n workflow on OpenRuna — 25 nodes connecting chat, memoryBufferWindow, toolCalculator, lmChatOpenAi, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, wooCommerceTool. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

"OpenAI Personal Shopper with RAG and WooCommerce" is an n8n automation built from 25 nodes spanning chat, memoryBufferWindow, toolCalculator, lmChatOpenAi, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, wooCommerceTool. 25 nodes · chat, memoryBufferWindow, toolCalculator, lmChatOpenAi, toolVectorStore, vectorStoreQdrant Execution begins at the scheduled/triggered trigger and flows through the 25 configured nodes. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Use it as a starting template when wiring chat, memoryBufferWindow, toolCalculator, lmChatOpenAi, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, wooCommerceTool — adjust node parameters to your accounts and record IDs.
  • Import "OpenAI Personal Shopper with RAG and WooCommerce" into n8n, reconnect credentials for chat, memoryBufferWindow, toolCalculator, lmChatOpenAi, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, wooCommerceTool, and run the same automation in your own workspace.
  • Share it with your team as a documented reference for scheduled/triggered automations in the chat stack.
  • Study how data moves from chat to memoryBufferWindow before building your own variant.

Example output

Imported into n8n, "OpenAI Personal Shopper with RAG and WooCommerce" exposes 25 configured nodes. Trigger type: scheduled/triggered. Integrations: chat, memoryBufferWindow, toolCalculator, lmChatOpenAi, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, wooCommerceTool. Open each node after import to map credentials to your own chat and memoryBufferWindow accounts. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Paste the exported JSON for "OpenAI Personal Shopper with RAG and WooCommerce" into Claude and ask it to explain each of the 25 nodes. Claude is good at suggesting credential mappings for chat, memoryBufferWindow, toolCalculator, lmChatOpenAi, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, wooCommerceTool, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "OpenAI Personal Shopper with RAG and WooCommerce" to your accounts — which chat, memoryBufferWindow, toolCalculator, lmChatOpenAi, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, wooCommerceTool credentials to create and which node parameters to change first.

Cursor

Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 25 nodes.

Frequently asked questions

How do I import "OpenAI Personal Shopper with RAG and WooCommerce" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "OpenAI Personal Shopper with RAG and WooCommerce" use?
It uses: chat, memoryBufferWindow, toolCalculator, lmChatOpenAi, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, wooCommerceTool. The flow diagram above shows how each service connects across the 25 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own chat and memoryBufferWindow credentials in n8n after import.
What trigger type does "OpenAI Personal Shopper with RAG and WooCommerce" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "OpenAI Personal Shopper with RAG and WooCommerce" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for chat, memoryBufferWindow, toolCalculator, lmChatOpenAi, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, wooCommerceTool.

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