AI Agents
Automate Google Sheets data processing with AI agents
11 nodes
355
184
Webhook
Workflow Description
This automation connects a webhook to an advanced AI agent that processes text data, splits it into chunks, converts it to embeddings, stores vectors in Supabase, and automatically updates Google Sheets based on intelligent queries and analysis without manual intervention.
How it works
- 1.Receive incoming data via webhook and split it into processable text chunks
- 2.Convert text to numerical embeddings and store them in Supabase vector database
- 3.Deploy an AI agent with conversation memory to understand requests and retrieve answers
- 4.Execute actions and write results directly to Google Sheets
Use cases
- Analyze long documents and automatically insert summaries and insights into a central Sheets repository
- Answer customer questions based on knowledge base and log conversations in Sheets
- Process intake forms automatically, extract relevant data, and organize it in spreadsheets
Requirements
- OpenAI API key to generate embeddings and intelligent responses
- Supabase account with a configured vector database for storing embeddings
- Editor access to target Google Sheets for automated data writing
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
Lm Chat Hf
AI Agent
Google Sheets
Details
Trigger
Webhook
Nodes
11
Apps
7
Views
355
Downloads
184
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
OpenAI
Insert
Vector Store Supabase
Query
Vector Store Supabase
Tool
Tool Vector Store
Memory
Memory Buffer Window
Chat
Lm Chat Hf
Agent
Agent
Sheet
Google Sheets