AI Agents
Query Google Sheets and send insights to Slack with AI
12 nodes
270
176
Webhook
Workflow Description
Deploy an intelligent agent that receives requests via webhook, processes Google Sheets data through embeddings and semantic search, retrieves relevant information from a vector database, and delivers AI-generated responses directly to Slack channels.
How it works
- 1.Receive incoming webhook request and route to the AI agent
- 2.Split and embed Google Sheets content into Supabase vector store
- 3.Query relevant data from the vector store using semantic similarity
- 4.Process the query through OpenAI's language model with conversation memory
- 5.Send formatted response to designated Slack channel
Use cases
- Answer team questions about spreadsheet data in real-time via Slack messages
- Automatically extract and summarize reports from Google Sheets and post to team channels
Requirements
- Google Sheets account with read access credentials
- OpenAI and Cohere API keys with active subscriptions
- Supabase database with vector store enabled and Slack app with message posting permissions
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Text Splitter
Embeddings
Vector Store
Memory
OpenAI
AI Agent
Google Sheets
Slack
Details
Trigger
Webhook
Nodes
12
Apps
8
Views
270
Downloads
176
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)
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Sticky Note
Sticky Note
Webhook Trigger
Webhook
Text Splitter
Text Splitter Character Text Splitter
Embeddings
Embeddings Cohere
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