Data & Databases
Analyze queries and store AI responses in databases
11 nodes
436
160
Automatic trigger
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Workflow Description
An automation that receives inquiries through a chat interface, processes them with OpenAI, and automatically stores results in PostgreSQL and MySQL databases while maintaining conversation history to enhance context and response quality.
How it works
- 1.Trigger the workflow when a new user inquiry arrives
- 2.Process the text through OpenAI's language model using previous conversation history
- 3.Apply conditional logic to route responses to the appropriate database
- 4.Save the inquiry and response to PostgreSQL for reference and audit
- 5.Log data in MySQL for analytics and pattern detection
- 6.Send an HTTP request to external systems if additional actions are needed
Use cases
- Intelligent customer service platform that archives every conversation for retrieval and coaching
- Data analyst system that collects user insights and automatically categorizes issues by frequency
- Technical support automation that provides instant answers while tracking recurring problems
Requirements
- Valid OpenAI API key with sufficient usage quota
- PostgreSQL and MySQL connection credentials configured securely
- Pre-defined conversation model or prompt template in OpenAI
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
If
Set
OpenAI
Chat Trigger
Postgres
MySQL
HTTP Request
Details
Trigger
Automatic trigger
Nodes
11
Apps
7
Views
436
Downloads
160
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 (11)
/
If
If
Edit Fields1
Set
Edit Fields2
Set
OpenAI
OpenAI
Chat Trigger
Chat Trigger
Postgres Chat Memory
Memory Postgres Chat
Postgres Chat Memory1
Memory Postgres Chat
Products in Daatabase
My Sql Tool
Knowledge Base
HTTP Request
External API
HTTP Request
Sticky Note
Sticky Note
OpenAI2
OpenAI
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