AI Agents
Automate Google Sheets
11 nodes
208
163
Webhook
Workflow Description
Deploy an AI agent that receives data via webhook, splits text into chunks, generates embeddings using Hugging Face, stores vectors in Supabase, and uses Anthropic's language model with memory to process queries and automatically update Google Sheets with results and insights.
How it works
- 1.Receive incoming data through webhook and trigger the automation workflow
- 2.Split text into manageable chunks using character-level text splitting
- 3.Generate embeddings from text using Hugging Face embedding model
- 4.Store vector data in Supabase database for semantic search capabilities
- 5.Process user queries through Anthropic AI agent with contextual memory
- 6.Update Google Sheets with results, metadata, and new information automatically
Use cases
- Automatically process and organize large volumes of text data into Google Sheets
- Answer intelligent questions about stored documents and data using semantic search
- Build and maintain a searchable knowledge base that updates in real-time
Requirements
- Active Anthropic API key with sufficient credits
- Supabase credentials and configured database instance
- Google account with edit permissions for target spreadsheets
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
208
Downloads
163
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