AI Agents
Intelligent Data Analysis and Google Sheets Automation
11 nodes
296
174
Webhook
Workflow Description
This automation receives requests via webhook, processes text using advanced language models with contextual memory, stores knowledge in a vector database, and automatically writes results to Google Sheets. It combines natural language understanding with persistent data management for hands-free spreadsheet updates based on incoming queries.
How it works
- 1.Receive webhook requests and split text into processable chunks
- 2.Convert chunks to numerical vectors using Hugging Face embeddings
- 3.Store vectors in Supabase and retrieve contextually relevant information
- 4.Process requests through an AI agent while maintaining conversation history
- 5.Write analysis results and extracted data to Google Sheets
Use cases
- Handle customer inquiries and automatically log responses in a centralized sheet
- Analyze text reports and extract key data points for spreadsheet storage
- Build an evolving knowledge base that learns from each new interaction
Requirements
- Google Workspace account with edit permissions on Google Sheets
- API keys for Hugging Face and Supabase services
- Configured webhook to receive data from external applications or systems
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
296
Downloads
174
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)
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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