AI Agents
Automate data processing in Google Sheets with intelligent agent
11 nodes
322
177
Webhook
Workflow Description
A workflow that receives data through webhooks, processes it using a language model with semantic search and memory capabilities, then automatically records results in Google Sheets. No manual intervention required for data transformation and storage.
How it works
- 1.Receive incoming data via webhook and split it into manageable text chunks for processing
- 2.Convert text into numerical embeddings and retrieve relevant context from vector database using semantic search
- 3.Execute the intelligent agent powered by Hugging Face language model with contextual memory to make informed decisions
- 4.Write processed results and conclusions directly to the target Google Sheets spreadsheet
Use cases
- Automatically categorize and organize large reports into structured spreadsheet rows
- Extract key information from lengthy documents and populate corresponding spreadsheet cells
- Build knowledge records that learn from historical data and improve accuracy over time
Requirements
- Valid Google Sheets API key with access permissions to your target spreadsheet
- Active Hugging Face model account and Supabase instance for storing vector embeddings
Service Value
Ready-made workflow template for automation delivery and service execution.
Apps Used
Text Splitter
Embeddings
Vector Store
Memory
Lm Chat Hf
AI Agent
Google Sheets
Details
Trigger
Webhook
Nodes
11
Apps
7
Views
322
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 Hugging Face
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