AI Agents
Intelligent agent automation for Google Sheets with AI processing
11 nodes
313
177
Webhook
Workflow Description
Template leveraging an AI agent powered by Anthropic to process text data, store embeddings in Supabase vector database, and automatically update Google Sheets upon webhook requests with intelligent context memory and analysis capabilities.
How it works
- 1.Receive incoming request via webhook and pass text content to text splitter for processing
- 2.Convert text passages into numerical embeddings using Cohere and persist them in Supabase
- 3.Invoke AI agent with context memory to analyze data using Anthropic's language model
- 4.Execute agent actions and write results directly to Google Sheets rows
- 5.Maintain conversation history for improved subsequent responses
Use cases
- Automatically organize form submissions and populate spreadsheet rows with parsed data
- Index and search document content through semantic vector storage and retrieval
- Answer team queries about spreadsheet data using conversational AI
Requirements
- Anthropic and Cohere API credentials
- Supabase database with vector-enabled tables
- Google Sheets with write-access service account
Service Value
Ready-made workflow template for automation delivery and service execution.
Apps Used
Text Splitter
Embeddings
Vector Store
Memory
Anthropic
AI Agent
Google Sheets
Details
Trigger
Webhook
Nodes
11
Apps
7
Views
313
Downloads
177
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
Lm Chat Anthropic
Agent
Agent
Sheet
Google Sheets