AI Agents
Analyze Data with AI and Update Google Sheets Automatically
11 nodes
322
179
Webhook
Workflow Description
An intelligent automation that receives data via webhook, processes it using advanced language models with contextual memory, stores knowledge in a vector database, and writes results directly to Google Sheets without manual intervention.
How it works
- 1.Receive data through webhook and split it into logical text chunks
- 2.Convert text to embeddings using HuggingFace and store them in Weaviate vector store
- 3.Process queries with an AI agent that leverages previous context and stored knowledge
- 4.Write results and analysis automatically to designated Google Sheets tabs
Use cases
- Analyze customer feedback and auto-categorize it into organized spreadsheet tables
- Generate intelligent reports from unstructured data using natural language queries
- Document conversations and decisions, storing them centrally in spreadsheets
Requirements
- Valid Google Sheets API key with write permissions
- HuggingFace model pre-configured in n8n (standard language model templates)
- Running Weaviate server or active Weaviate Cloud account for vector 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
322
Downloads
179
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