AI Agents
Automate Google Sheets data processing with AI agents
11 nodes
303
190
Webhook
Workflow Description
An automation workflow that receives data via Webhook, processes it through an AI agent powered by Anthropic with contextual memory, splits and vectorizes text using Hugging Face embeddings, stores data in Supabase vector database, and writes results back to Google Sheets automatically.
How it works
- 1.Receive incoming data through Webhook trigger
- 2.Split text and generate vector embeddings using Hugging Face
- 3.Store processed data in Supabase vector database
- 4.Process queries with an AI agent using contextual memory
- 5.Write results and structured data to Google Sheets
Use cases
- Automatically process and organize large volumes of text data in Google Sheets
- Build an intelligent search system that understands intent and retrieves answers from a knowledge base
- Enrich Google Sheets with AI-powered analysis without manual intervention
Requirements
- Google account with Google Sheets editing permissions
- Anthropic API key for Claude access
- Active Supabase project with vector storage enabled
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
303
Downloads
190
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 Hugging Face
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