Chat message processing with OpenAI and vector storage integration

• Automate customer support interactions using AI chatbots.
• Enhance user experience by providing context-aware responses.
• Retrieve relevant information from a vector database to assist users.
• Maintain conversation history for better context in chat interactions.

Triggers when a chat message is received. Processes the message using OpenAI's chat model. Stores and retrieves context from PostgreSQL memory. Utilizes a Supabase vector store to fetch relevant documents. Generates responses based on retrieved data and user queries.

1. 1
   Import the workflow template into your n8n instance.
2. 2
   Configure the OpenAI and PostgreSQL credentials.
3. 3
   Set up the Supabase vector store connection.
4. 4
   Test the workflow by sending a chat message to the trigger.