Automated workflow
Workflow Description
An intelligent automated workflow that manages customer conversations across multiple channels using an AI agent powered by Gemini, maintains conversation context, and retrieves relevant information from a vector database.
How it works
- 1.Receive incoming message via Chat Trigger or webhook from customer platform
- 2.Process message through intelligent agent using Gemini for understanding and generating responses
- 3.Search Vector Store Qdrant for contextually relevant information and knowledge base entries
- 4.Maintain conversation history and context using memory buffer window
- 5.Apply conditional logic through switch nodes to route different query types appropriately
- 6.Send response back to customer through the connected channel or application
Use cases
- Intelligent customer support agent that answers common questions and retrieves answers from a knowledge database
- Multi-channel conversation management on Twitter/X and chat platforms while preserving full conversation context
- Automated analysis and summarization of extended customer conversations for insights and quality improvement
Requirements
- Active API keys for Google Gemini service and configured Qdrant vector database instance
- Connected social media and messaging platform accounts with proper authentication credentials
- Historical customer data available for model fine-tuning to improve response quality and accuracy
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 (39)
Query Classification
Agent
Switch
Switch
Factual Strategy - Focus on Precision
Agent
Analytical Strategy - Comprehensive Coverage
Agent
Opinion Strategy - Diverse Perspectives
Agent
Contextual Strategy - User Context Integration
Agent
Chat
Chat Trigger
Factual Prompt and Output
Set
Contextual Prompt and Output
Set
Opinion Prompt and Output
Set
Analytical Prompt and Output
Set
Gemini Classification
Gemini Model
Gemini Factual
Gemini Model
Gemini Analytical
Gemini Model
Chat Buffer Memory Analytical
Memory Buffer Window
Chat Buffer Memory Factual
Memory Buffer Window
Gemini Opinion
Gemini Model
Chat Buffer Memory Opinion
Memory Buffer Window
Gemini Contextual
Gemini Model
Chat Buffer Memory Contextual
Memory Buffer Window
Embeddings
Gemini Model
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
Concatenate Context
Summarize
Retrieve Documents from Vector Store
Vector Store Qdrant
Set Prompt and Output
Set
Gemini Answer
Gemini Model
Answer
Agent
Chat Buffer Memory
Memory Buffer Window
Sticky Note4
Sticky Note
Sticky Note5
Sticky Note
Respond to Webhook
Webhook
Sticky Note6
Sticky Note
When Executed by Another Workflow
Execute Workflow Trigger
Combined Fields
Set
Sticky Note7
Sticky Note
Sticky Note8
Sticky Note