AI Agents
Analyze Google Sheets data with AI and send insights to Slack
12 nodes
301
177
Webhook
Workflow Description
Workflow that retrieves data from Google Sheets, processes it through an AI agent with memory and vector search, then automatically sends analysis and recommendations to Slack channels based on intelligent pattern recognition.
How it works
- 1.Receive Google Sheets data via webhook trigger
- 2.Split and embed text data using OpenAI embeddings
- 3.Store vectors in Supabase for semantic search capability
- 4.Route queries through an AI agent with conversation memory
- 5.Send analysis results and answers directly to Slack
Use cases
- Real-time alerts when sales figures or KPIs change significantly
- Answer team questions about sheet data without direct access to spreadsheets
- Generate and distribute daily reports to relevant Slack channels
Requirements
- Active OpenAI API key with language model access
- Supabase project with Vector Store enabled
- Google Sheets API credentials with read permissions
- Slack bot with channel write permissions
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Text Splitter
OpenAI
Vector Store
Memory
AI Agent
Google Sheets
Slack
Details
Trigger
Webhook
Nodes
12
Apps
7
Views
301
Downloads
177
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (12)
/
Sticky Note
Sticky Note
Webhook Trigger
Webhook
Text Splitter
Text Splitter Character Text Splitter
Embeddings
OpenAI
Supabase Insert
Vector Store Supabase
Supabase Query
Vector Store Supabase
Vector Tool
Tool Vector Store
Window Memory
Memory Buffer Window
Chat Model
OpenAI
RAG Agent
Agent
Append Sheet
Google Sheets
Slack Alert
Slack