AI Agent for Intelligent Data-Driven Conversations
Workflow Description
An OpenAI-powered agent receives user queries via webhook, maintains conversation context in PostgreSQL, retrieves relevant data, and generates contextual responses. It can execute additional workflows and tools, enabling sophisticated, data-informed interactions at scale.
How it works
- 1.Receive user message through webhook and store conversation context
- 2.Query PostgreSQL to fetch relevant business or analytical data
- 3.Send context and data to OpenAI to generate intelligent response
- 4.Execute supporting tools or workflows if required by the agent
- 5.Log conversation and return response to user
Use cases
- Customer support automation that answers using live company database
- Analytics assistant that queries data and provides instant insights
- Social media agent that responds to inquiries with current information
Requirements
- Active OpenAI account with API key configured
- PostgreSQL database populated with queryable data
- Webhook endpoint to receive messages from external applications
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 (30)
Postgres Chat Memory
Memory Postgres Chat
OpenAI Chat Model
OpenAI
Set fields
Set
Sticky Note
Sticky Note
Webhook - ChatInput
Webhook
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Respond to Webhook
Webhook
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Call Search Console Tool
Tool Workflow
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Tool calling
Execute Workflow Trigger
Switch
Switch
Set fields - Consruct API CALL
Set
Sticky Note8
Sticky Note
Set fields - Create searchConsoleDataArray
Set
Set fields - Create searchConsoleDataArray 2
Set
Search Console - Get Custom Insights
HTTP Request
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## Search Console - Get List of Properties
HTTP Request
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Array aggregation - response to AI Agent
Aggregate
Array aggregation - response to AI Agent1
Aggregate
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AI Agent
Agent