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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
1599_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

Built in n8n, "OpenAI Personal Shopper with RAG and WooCommerce" chains 25 nodes to move data between chat, memoryBufferWindow, toolCalculator, lmChatOpenAi, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, wooCommerceTool. 25 nodes · chat, memoryBufferWindow, toolCalculator, lmChatOpenAi, toolVectorStore, vectorStoreQdrant A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. 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

  • Fork it to add error handling, retries, or a notification step without designing the 25-node flow from scratch.
  • Benchmark it against your current chat integration to spot missing steps or redundant nodes.
  • Study how data moves from chat to memoryBufferWindow before building your own variant.
  • Share it with your team as a documented reference for scheduled/triggered automations in the chat stack.

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. Reconnect the chat credential first, then walk the remaining nodes top to bottom. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "OpenAI Personal Shopper with RAG and WooCommerce" JSON into a plain-English runbook, node by node. It can flag where chat rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for chat, memoryBufferWindow, toolCalculator, lmChatOpenAi, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, wooCommerceTool. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "OpenAI Personal Shopper with RAG and WooCommerce" — extract chat IDs and secrets into environment variables without changing the 25-node structure.

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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