AI Agents
Automate Google Sheets
11 nodes
248
164
Webhook
Workflow Description
An automation template that integrates an intelligent agent with memory and language models to process data automatically and update Google Sheets via webhook, featuring text analysis and semantic search capabilities across vectorized data storage.
How it works
- 1.Receive webhook request and trigger workflow execution
- 2.Process input text using text splitter and OpenAI embeddings
- 3.Search relevant information in Supabase vector store database
- 4.Execute intelligent agent using memory buffer and Hugging Face language model
- 5.Automatically update results in Google Sheets
Use cases
- Analyze and automatically categorize large datasets into spreadsheet formats
- Generate intelligent reports that update dynamically based on new data inputs
- Process text queries and store AI-generated responses in organized sheets
Requirements
- Google Sheets account with edit permissions
- API keys from OpenAI and Hugging Face
- Supabase database instance for vector storage
- Valid webhook endpoint and request transmission mechanism
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
248
Downloads
164
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