AI Agents
Automate Google Sheets with AI Agent and Vector Search
11 nodes
229
165
Webhook
Workflow Description
Advanced automation combining an AI agent with Redis vector storage to process incoming webhook requests, split text content, generate embeddings through OpenAI, and intelligently update Google Sheets with contextual responses powered by language model inference.
How it works
- 1.Receive webhook request and route to AI agent processing
- 2.Split text data and generate OpenAI embeddings for semantic search
- 3.Query Redis vector store and retrieve relevant context
- 4.Generate response via language model and update Google Sheets
Use cases
- Automatically process customer inquiries and log responses to tracking spreadsheets
- Analyze uploaded documents and update company databases in real time
Requirements
- Valid OpenAI API key with embedding and chat model access
- Redis server running and accessible with vector storage enabled
- Google Sheets with write permissions for the connected service account
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Text Splitter
OpenAI
Vector Store
Memory
Lm Chat Hf
AI Agent
Google Sheets
Details
Trigger
Webhook
Nodes
11
Apps
7
Views
229
Downloads
165
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
OpenAI
Insert
Vector Store Redis
Query
Vector Store Redis
Tool
Tool Vector Store
Memory
Memory Buffer Window
Chat
Lm Chat Hf
Agent
Agent
Sheet
Google Sheets