AI Agents
Automate Google Sheets
11 nodes
251
164
Webhook
Workflow Description
Advanced automation template combining an intelligent OpenAI-powered agent with Supabase vector storage to process text data automatically and store results in Google Sheets. Receives requests via webhook and uses memory to maintain conversation context across interactions.
How it works
- 1.Receive incoming request through webhook trigger
- 2.Split lengthy text into manageable chunks using Text Splitter
- 3.Convert text chunks to vector embeddings via Cohere
- 4.Store embeddings in Supabase vector database for efficient retrieval
- 5.Process queries intelligently using OpenAI agent with conversation memory
- 6.Write results and insights directly to Google Sheets
Use cases
- Process large documents and automatically store analysis results in spreadsheets
- Answer data queries while learning from previous conversation context
- Automate documentation of bulk text data with intelligent extraction to Google Sheets
Requirements
- OpenAI API key and Cohere account for embeddings
- Supabase database configured with vector storage capability
- Google account with edit permissions for target Google Sheets
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
251
Downloads
164
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