AI Agents
Query Google Sheets data intelligently through Slack
12 nodes
286
192
Webhook
Workflow Description
Automation that receives inquiries via Slack, employs an AI agent powered by Anthropic's language model to search Google Sheets data, and returns answers directly to users through semantic Vector Store retrieval for efficient information discovery.
How it works
- 1.Receive query via webhook from Slack
- 2.Split text into processable chunks and convert to semantic embeddings
- 3.Search Vector Store linked to Google Sheets data and retrieve relevant records
- 4.Process query through an intelligent agent using Anthropic's language model
- 5.Send synthesized response back to Slack
Use cases
- Answer employee questions about project data and contracts stored in spreadsheets
- Instant search for sales or customer information without manually opening Sheets
- Generate summary reports from spreadsheet data based on natural language queries
Requirements
- Google Sheets account with required access and prepared spreadsheet file
- Slack account with permissions to send and receive messages
- API keys for Anthropic and OpenAI (embeddings)
- Supabase or Vector Store database configured for semantic search
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
Anthropic
AI Agent
Google Sheets
Slack
Details
Trigger
Webhook
Nodes
12
Apps
8
Views
286
Downloads
192
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
OpenAI
Supabase Insert
Vector Store Supabase
Supabase Query
Vector Store Supabase
Vector Tool
Tool Vector Store
Window Memory
Memory Buffer Window
Chat Model
Lm Chat Anthropic
RAG Agent
Agent
Append Sheet
Google Sheets
Slack Alert
Slack