Templates / Synchronize Slack status updates with Pinecone, Google Sheets & GPT-4o

Synchronize Slack status updates with Pinecone, Google Sheets & GPT-4o

Ready for 3.0

by Rahul Joshi ✓ · 102 views · created 2025-07-15 · Document Extraction, AI RAG

Ready 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 39 nodes and runs on Google Drive events. Along the way it connects Google Drive, Pinecone Vector Store, Embeddings Azure OpenAI and Slack and 3 more.

How it runs

Trigger: On Google Drive events.

  1. Download file (Google Drive): uses Google Drive
  2. Extract from File: extracts data from a file
  3. AI Agent: runs an AI agent, with model: Azure OpenAI Chat Model; 1 tool (Pinecone Vector Store); output parser: Structured Output Parser
  4. If: checks a condition and branches into true / false
  5. Pinecone Vector Store: uses the Pinecone vector store, with embeddings: Embeddings Azure OpenAI; document loader: Default Data Loader
  6. AI Agent: runs an AI agent, with model: Azure OpenAI Chat Model; 2 tools (Pinecone Vector Store, Get row(s) in sheet in Google Sheets); output parser: Structured Output Parser
  7. AI Agent: runs an AI agent, with model: Azure OpenAI Chat Model; 1 tool (Pinecone Vector Store); output parser: Structured Output Parser
  8. Pinecone Vector Store: uses the Pinecone vector store, with embeddings: Embeddings Azure OpenAI
  9. Append or update row in sheet (Google Sheets): uses Google Sheets
  10. AI Agent: runs an AI agent, with model: Azure OpenAI Chat Model; output parser: Auto-fixing Output Parser

…plus 3 more steps. See the full node list below.

Services it uses

Google DrivePinecone Vector StoreEmbeddings Azure OpenAISlackAzure OpenAI Chat ModelGoogle SheetsReranker Cohere

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 (17)

From the author

Streamline client onboarding and lay the groundwork for future Retrieval-Augmented Generation (RAG) capabilities by automatically transforming Slack messages into structured data using GPT-4o, Google Sheets, and Pinecone—all orchestrated within n8n. Perfect…

Excerpt from Rahul Joshi's description on n8n.io.

View the original on n8n.io → Check your own copy

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