AI Agents
Automate Google Sheets Data Processing with AI Agent
11 nodes
227
163
Webhook
Workflow Description
Intelligent automation receives data via Webhook and processes it using an advanced language model with memory and semantic search capabilities, then automatically logs results in Google Sheets.
How it works
- 1.Receive data through Webhook and split it into manageable text chunks
- 2.Convert text to embeddings and store in Vector Store for semantic search
- 3.Process queries using an AI Agent powered by HuggingFace language model with contextual memory
- 4.Record results and outputs directly in Google Sheets
Use cases
- Index large documents and datasets, converting unstructured text into organized spreadsheet tables
- Answer questions about stored data and automatically document query results in sheets
Requirements
- Google account with access permissions to Google Sheets
- API keys for Cohere, HuggingFace services, and Redis connection for storage
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
227
Downloads
163
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 Cohere
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