Summarize Google Play Store reviews with GPT-4-mini, Pinecone & Slack alerts
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 19 nodes and runs on a schedule (every day at 10:00) (plus 1 other trigger). Along the way it connects Pinecone Vector Store, Embeddings OpenAI, OpenAI Chat Model and Slack.
How it runs
Trigger: On a schedule (every day at 10:00) (plus 1 other trigger).
- Set the bundle ids (Edit Fields (Set)): sets or maps fields
- Set app details (Edit Fields (Set)): sets or maps fields
- Split Out: splits a list into separate items
- Split Out: splits a list into separate items
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- HTTP Request: calls an HTTP API
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; 1 tool (Pinecone Vector Store)
- Split Out: splits a list into separate items
- Send to Slack channel (Slack): uses Slack
…plus 2 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (12)
- Split Out
n8n-nodes-base.splitOut - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - AI Agent
@n8n/n8n-nodes-langchain.agent - Edit Fields (Set)
n8n-nodes-base.set - Schedule Trigger
n8n-nodes-base.scheduleTrigger - HTTP Request
n8n-nodes-base.httpRequest - Filter
n8n-nodes-base.filter - Pinecone Vector Store
@n8n/n8n-nodes-langchain.vectorStorePinecone - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Slack
n8n-nodes-base.slack
From the author
This workflow automatically fetches reviews for one or more Google Play Store apps, summarizes the feedback using OpenAI, stores and manages review data with Pinecone, and posts the summary to a Slack channel. It is designed for product teams, community…