AI Agents
Process data queries and generate AI-powered responses in Sheets
11 nodes
309
175
Webhook
Workflow Description
This automation receives webhook requests, analyzes text and converts it into semantic vectors, searches a vector database for relevant information, directs an AI agent to formulate responses, and automatically records results in Google Sheets. Perfect for intelligent data handling workflows.
How it works
- 1.Receive incoming request via webhook and store context in memory
- 2.Split text and convert into vector embeddings using Hugging Face
- 3.Search Supabase Vector Store for related information and documents
- 4.Direct Claude AI agent to generate contextual and accurate responses
- 5.Insert responses and metadata into Google Sheets for tracking
Use cases
- Automate customer inquiry responses with documented logging in Sheets
- Process and intelligently categorize forms and requests in real-time
- Extract and organize information from documents into structured data
Requirements
- Google Sheets account with edit permissions and valid sheet setup
- API keys for Anthropic, Hugging Face, and Supabase vector database
- Pre-configured Sheets columns to store responses and metadata
Service Value
Ready-made workflow template for automation delivery and service execution.
Apps Used
Text Splitter
Embeddings
Vector Store
Memory
Anthropic
AI Agent
Google Sheets
Details
Trigger
Webhook
Nodes
11
Apps
7
Views
309
Downloads
175
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 Anthropic
Agent
Agent
Sheet
Google Sheets