# Summarize Apple App Store reviews with Pinecone and OpenAI: n8n workflow

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

Source: https://millionrounds.com/workflow/summarize-apple-app-store-reviews-with-pinecone-and-openai (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Research and reporting](https://millionrounds.com/workflows?category=Research+and+reporting#library)

# Summarize Apple App Store reviews with Pinecone and OpenAI

Started by a clock, and works across Pinecone and Slack. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 20 steps, 2 loops or waits: a working afternoon to understand properly.

Medium Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fsummarize-apple-app-store-reviews-with-pinecone-and-openai)

**20 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**2** Loops or waits

**2** Services it connects to

## The flow

Starts it 2 Model 7 Logic 8 Service 3

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

- 1 **Embeddings OpenAI9** Embeddings Open Ai *Model*
- 2 **Default Data Loader8** Document Default Data Loader *Model*
- 3 **OpenAI Chat Model10** Lm Chat Open Ai *Model*
- 4 **Embeddings OpenAI12** Embeddings Open Ai *Model*
- 5 **Daily Trigger1** Schedule trigger *Starts it*
- 6 **Weekly Trigger** Schedule trigger *Starts it*
- 7 **Pinecone Vector Store9** Vector Store Pinecone *Model*
- 8 **AI Agent - Summariser** Agent *Model*
- 9 **Pinecone Vector Store12** Vector Store Pinecone *Model*
- 10 **Set App Store app ids** Set *Logic*
- 11 **Set App Store app ids1** Set *Logic*
- 12 **Loop Over Items2** Split In Batches *Logic*
- 13 **Send to Slack channel1** Slack *Service*
- 14 **Split Out6** Split Out *Logic*
- 15 **Split Out8** Split Out *Logic*
- 16 **JWT** Jwt *Service*
- 17 **Loop Over Items3** Split In Batches *Logic*
- 18 **HTTP Request - CUSTOMER REVIEWS** Http Request *Service*
- 19 **Split Out9** Split Out *Logic*
- 20 **Filter1** Filter *Logic*

## How it's built

- **Starts on:** A clock
- **Steps:** 20, 2 loops or waits
- **Size:** Medium: a working afternoon
- **Connects to:** Pinecone, Slack
- **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 and Slack accounts, 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. 20 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 20 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%2Fsummarize-apple-app-store-reviews-with-pinecone-and-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)[Slack](https://millionrounds.com/workflows?service=Slack#library)

## Workflows like it

Also research and reporting, with the same services where possible, closest in size first.

- [**AI research paper analysis & documentation with Decodo** 20 steps · calls a model · Google Docs, Google Sheets](https://millionrounds.com/workflow/ai-research-paper-analysis-and-documentation-with-decodo)
- [**Analyze Google Business Reviews & send sentiment reports to Slack** 20 steps · calls a model · Google Business Profile, Slack](https://millionrounds.com/workflow/analyze-google-business-reviews-and-send-sentiment-reports-t)
- [**Generate tender eligibility summaries and bid checklists** 20 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/generate-tender-eligibility-summaries-and-bid-checklists)
- [**Prevent employee burnout with OpenAI and Google Sheets** 20 steps · calls a model · Google Sheets, Postgres](https://millionrounds.com/workflow/prevent-employee-burnout-with-openai-and-google-sheets)
- [**Summarize daily Gmail emails with Gemini and WhatsApp** 20 steps · calls a model · Gmail, Google Docs](https://millionrounds.com/workflow/summarize-daily-gmail-emails-with-gemini-and-whatsapp)
- [**Send monthly real estate market summaries to Slack** 20 steps · Slack, Supabase](https://millionrounds.com/workflow/send-monthly-real-estate-market-summaries-to-slack)