Enrich Zendesk alerts with AI-powered search in Qdrant
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Workflow Description
Automate alert reception through chat interface, process them with an OpenAI-powered intelligent agent, enrich with data from Google Drive stored in Qdrant's vector database, and automatically update Zendesk tickets with enhanced information.
How it works
- 1.Receive alerts via chat interface and trigger workflow activation
- 2.Process alerts using an intelligent agent powered by OpenAI
- 3.Load documents from Google Drive and split into processable chunks
- 4.Store data in Qdrant for fast vector-based retrieval
- 5.Enrich alerts with relevant information from the vector database
- 6.Update Zendesk tickets with enriched content
Use cases
- Enhance support tickets with contextual information from internal documentation
- Improve support team efficiency by providing documented answers linked to each case
Requirements
- OpenAI API account with access permissions
- Zendesk account with ticket update privileges
- Google Drive folder containing reference documents
- Qdrant account or local instance with sufficient storage
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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