AI Agents
Automate Google Sheets with AI-Powered Data Analysis
11 nodes
282
159
Webhook
Workflow Description
Intelligent automation that receives data via webhook, processes it through natural language techniques and semantic embeddings, routes it to an AI agent interfacing with a vector database, then automatically logs results into Google Sheets—enabling hands-off data enrichment and documentation.
How it works
- 1.Receive webhook requests and split incoming text into manageable chunks for processing
- 2.Transform data into semantic vectors using Cohere embeddings and store in Supabase vector store
- 3.Process queries through an OpenAI-powered agent that retrieves context from the vector database
- 4.Automatically record agent responses and analysis results in designated Google Sheets tables
Use cases
- Build an automated customer inquiry system that logs all Q&A interactions and resolutions in shared spreadsheets
- Analyze incoming messages, classify them semantically, and populate Google Sheets with categorized insights without manual intervention
Requirements
- Active OpenAI account with valid API key configured
- Google Sheets document with edit permissions and accessible sheet tabs
- Supabase database configured to store and query vector embeddings
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
Details
Trigger
Webhook
Nodes
11
Apps
7
Views
282
Downloads
159
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 (11)
/
Sticky
Sticky Note
Webhook
Webhook
Splitter
Text Splitter Character Text Splitter
Embeddings
Embeddings Cohere
Insert
Vector Store Supabase
Query
Vector Store Supabase
Tool
Tool Vector Store
Memory
Memory Buffer Window
Chat
OpenAI
Agent
Agent
Sheet
Google Sheets