AI Agents
Intelligent Data Analysis and Google Sheets Updates
11 nodes
329
133
Webhook
Workflow Description
This automation receives data via webhook, processes it through an AI agent powered by OpenAI, splits text into manageable chunks, converts them to embeddings using Hugging Face, stores vectors in Weaviate, retrieves context from memory, and writes results directly to Google Sheets.
How it works
- 1.Receive incoming request via webhook and log input data
- 2.Split text content into processable segments using Text Splitter
- 3.Convert segments to vector embeddings via Hugging Face model
- 4.Store embeddings in Weaviate vector database for fast retrieval
- 5.Execute AI agent with OpenAI to analyze and interpret data
- 6.Write analysis results and insights to Google Sheets automatically
Use cases
- Process customer reports, analyze them with AI, and automatically document findings in spreadsheets
- Build searchable knowledge base from accumulated data and continuously update it
Requirements
- Active OpenAI API key with appropriate permissions
- Google Sheets account with edit access to target spreadsheet
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
329
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
OpenAI
Agent
Agent
Sheet
Google Sheets