Intelligent Document Search from Google Drive and Zendesk Ticket Creation
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Workflow Description
An automation that uses an AI agent to search Google Drive documents for answers to questions, analyzes text with memory and vector databases, then automatically creates detailed support tickets in Zendesk based on the findings.
How it works
- 1.Receive messages from communication channels via Chat Trigger
- 2.Process the question using an AI agent powered by OpenAI
- 3.Search Google Drive documents using Vector Store technology
- 4.Split large documents and enhance search using embedding techniques
- 5.Create comprehensive support tickets in Zendesk automatically
Use cases
- Support team asks about company policies and the system creates a documented ticket automatically
- Quick search for answers in company documents with automatic documentation in the ticket system
Requirements
- Active Google Drive account containing text documents and policy files
- Active Zendesk account with sufficient permissions to create tickets
- OpenAI API keys and AI agent configuration
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
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 (14)
When chat message received
Chat Trigger
AI Agent
Agent
OpenAI Chat Model
OpenAI
Split Out
Split Out
Embeddings OpenAI1
OpenAI
Default Data Loader
Document Default Data Loader
Token Splitter1
Text Splitter Token Splitter
Window Buffer Memory
Memory Buffer Window
Embeddings OpenAI2
OpenAI
Extract from File
Extract From File
When clicking ‘Test workflow’
Manual Trigger
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note
Pull Mitre Data From Gdrive
Google Drive
Embed JSON in Qdrant Collection
Vector Store Qdrant
Query Qdrant Vector Store
Vector Store Qdrant
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