Chat message processing with AI agent and Postgres database

• Automate customer support responses using AI.
• Enhance user engagement through interactive chat features.
• Utilize a database to store and retrieve chat-related data.
• Generate SQL queries based on user input for data analysis.

Triggers when a chat message is received. Processes the message using an AI agent for analysis. Executes SQL queries in a Postgres database based on AI output. Stores context in memory for improved interaction.

1. 1
   Import the workflow template into n8n.
2. 2
   Connect your Postgres and OpenAI accounts.
3. 3
   Customize the chat trigger settings as needed.
4. 4
   Test the workflow by sending a chat message.