AI Agents
Intelligent Data Analysis and Automated Google Sheets Updates
11 nodes
307
133
Webhook
Workflow Description
This automation receives data via webhook, processes it using an AI language model with contextual memory and semantic search, then writes results directly to Google Sheets. No manual intervention required for data transformation and storage.
How it works
- 1.Receive incoming request via webhook and prepare data payload
- 2.Split text and convert into semantic embeddings for analysis
- 3.Search vector store and retrieve relevant contextual information
- 4.Process query with AI language model using session memory
- 5.Write results and insights to Google Sheets automatically
Use cases
- Analyze customer feedback and categorize entries in a centralized tracking sheet
- Process administrative requests and update project lists in real-time
- Extract key data from emails and reports, storing results organized by category
Requirements
- Active webhook endpoint to receive external data streams
- Google account with edit permissions on target spreadsheets
- API key for Hugging Face language model and semantic services
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
307
Downloads
133
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 Weaviate
Query
Vector Store Weaviate
Tool
Tool Vector Store
Memory
Memory Buffer Window
Chat
Lm Chat Hf
Agent
Agent
Sheet
Google Sheets