AI Agents
Extract and Analyze Google Sheets Data Intelligently in Slack
12 nodes
281
173
Webhook
Workflow Description
Automation that receives webhook requests, processes Google Sheets content using AI embeddings and vector search, and sends intelligent answers to Slack channels while maintaining conversation context through memory storage.
How it works
- 1.Receive incoming request via webhook
- 2.Split and embed spreadsheet content using OpenAI embeddings
- 3.Query Weaviate vector database for relevant information
- 4.Process user question with context-aware AI agent
- 5.Fetch matching data from Google Sheets
- 6.Send formatted response to Slack channel
Use cases
- Provide instant answers to employee questions about company data stored in spreadsheets
- Deliver automated summaries and insights directly to team channels without manual reports
Requirements
- Google Cloud account with OAuth access to Google Sheets
- OpenAI API key for language model and embedding operations
- Slack workspace with bot permissions to send messages
- Configured Weaviate vector store for semantic search
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
AI Agent
Google Sheets
Slack
Details
Trigger
Webhook
Nodes
12
Apps
7
Views
281
Downloads
173
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 (12)
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Sticky Note
Sticky Note
Webhook Trigger
Webhook
Text Splitter
Text Splitter Character Text Splitter
Embeddings
OpenAI
Weaviate Insert
Vector Store Weaviate
Weaviate Query
Vector Store Weaviate
Vector Tool
Tool Vector Store
Window Memory
Memory Buffer Window
Chat Model
OpenAI
RAG Agent
Agent
Append Sheet
Google Sheets
Slack Alert
Slack