# Export WordPress to Pinecone vector store with OpenAI: n8n workflow

> Started by a clock, and works across Pinecone. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the...

Source: https://millionrounds.com/workflow/export-wordpress-to-pinecone-vector-store-with-openai (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Data collection](https://millionrounds.com/workflows?category=Data+collection#library)

# Export WordPress to Pinecone vector store with OpenAI

Started by a clock, and works across Pinecone. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 19 steps: a working afternoon to understand properly.

Medium Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fexport-wordpress-to-pinecone-vector-store-with-openai)

**19 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**1** Service it connects to

## The flow

Starts it 1 Model 4 Logic 10 Service 4

The steps in the order they run, from what starts it.

- 1 **Schedule Trigger1** Schedule trigger *Starts it*
- 2 **[WP] GET CATEGORIES** Http Request *Service*
- 3 **Embeddings OpenAI** Embeddings Open Ai *Model*
- 4 **Token Splitter** Text Splitter Token Splitter *Model*
- 5 **Site URL** Set *Logic*
- 6 **Categories -> JSON** Set *Logic*
- 7 **Pinecone Vector Store** Vector Store Pinecone *Model*
- 8 **Default Data Loader** Document Default Data Loader *Model*
- 9 **[WP] GET TAGS** Http Request *Service*
- 10 **Aggregate** Aggregate *Logic*
- 11 **Tags-> JSON** Set *Logic*
- 12 **Merge** Merge *Logic*
- 13 **Aggregate1** Aggregate *Logic*
- 14 **Aggregate2** Aggregate *Logic*
- 15 **[WP] EXPORT POSTS** Http Request *Service*
- 16 **[WP] EXPORT PAGES** Http Request *Service*
- 17 **Posts -> clear JSON formatted for vector store insertion** Set *Logic*
- 18 **Pages-> clear JSON formatted for vector store insertion** Set *Logic*
- 19 **Merge1** Merge *Logic*

## How it's built

- **Starts on:** A clock
- **Steps:** 19
- **Size:** Medium: a working afternoon
- **Connects to:** Pinecone
- **Model:** OpenAI
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, plus your own Pinecone account, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on a clock.

Does it use AI?

Yes. It calls OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 19 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 19 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fexport-wordpress-to-pinecone-vector-store-with-openai)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Connects to

Each opens the other workflows that use it.

[Pinecone](https://millionrounds.com/workflows?service=Pinecone#library)

## Workflows like it

Also data collection, with the same services where possible, closest in size first.

- [**Synchronize MySQL database schemas to Pinecone with OpenAI** 17 steps · calls a model · MySQL, Pinecone](https://millionrounds.com/workflow/synchronize-mysql-database-schemas-to-pinecone-with-openai)
- [**Create AI-ready vector datasets for LLMs with Bright Data** 16 steps · calls a model · Pinecone](https://millionrounds.com/workflow/create-ai-ready-vector-datasets-for-llms-with-bright-data)
- [**Smart chat assistant with OpenAI and Google Sheets** 22 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/smart-chat-assistant-with-openai-and-google-sheets)
- [**Scrape and ingest web pages into a Pinecone RAG stack** 15 steps · calls a model · Pinecone](https://millionrounds.com/workflow/scrape-and-ingest-web-pages-into-a-pinecone-rag-stack)
- [**Serve a RAG chat backend for Next.js with OpenAI and Redis** 23 steps · calls a model · Pinecone, Postgres](https://millionrounds.com/workflow/serve-a-rag-chat-backend-for-next-js-with-openai-and-redis)
- [**Guide students with RAG and OpenAI** 14 steps · calls a model · Google Sheets, Pinecone](https://millionrounds.com/workflow/guide-students-with-rag-and-openai)