Chatbot interaction management with OpenAI and PostgreSQL memory

• Enhance customer support with automated responses
• Collect and store user data for personalized interactions
• Integrate external data sources for enriched chatbot responses
• Track user sessions for improved engagement
• Provide tailored product recommendations based on user queries

Initiates interaction through a chatbot trigger Evaluates user input with conditional logic Generates personalized responses using OpenAI Stores user interactions in PostgreSQL for future reference Retrieves relevant data from external sources to enhance responses

1. 1
   Import the workflow template into n8n
2. 2
   Configure OpenAI and PostgreSQL credentials
3. 3
   Set up the chatbot trigger with desired parameters
4. 4
   Define conditions for user input evaluation
5. 5
   Test the workflow to ensure proper functionality