AI Agents
Analyze Data with AI Agent and Update Google Sheets Automatically
11 nodes
361
177
Webhook
Workflow Description
Intelligent automation receives data via webhook, processes it with text splitting and embeddings, stores it in a vector database, then uses an AI agent powered by OpenAI to extract insights and update Google Sheets seamlessly and automatically.
How it works
- 1.Receive incoming data through webhook trigger and initiate workflow
- 2.Split long texts and generate embeddings using HuggingFace models
- 3.Store processed data in Supabase Vector Store while maintaining conversation memory
- 4.Activate AI agent to query stored data and extract meaningful patterns
- 5.Write extracted insights and findings directly to Google Sheets rows
Use cases
- Automatically process and categorize customer inquiries into organized sheets
- Analyze document content and extract key information without manual work
- Generate intelligent reports from unstructured data in real time
Requirements
- Active OpenAI API key with sufficient credits
- Supabase project with configured vector database
- Google Sheets with editor permissions enabled
- Webhook endpoint documentation for external data sources
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Text Splitter
Embeddings
Vector Store
Memory
OpenAI
AI Agent
Google Sheets
Details
Trigger
Webhook
Nodes
11
Apps
7
Views
361
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
OpenAI
Agent
Agent
Sheet
Google Sheets