Store AI chat conversations with OpenAI GPT-4.1-mini and Pinecone

How it works

• Chat input triggers the workflow when a user sends a message.
• The primary AI Agent processes the incoming message using OpenAI's Chat Model to generate intelligent responses.
• Context is retrieved from an assistant service using the "Get context from Assistant" node to enhance response quality with relevant historical information.
• A secondary AI Agent handles database logging by formatting and sending chat data via POST request to your storage endpoint.
• The Edit Fields node structures the conversation data to match your database schema before storage.
• All conversations are automatically stored with proper formatting, timestamps, and metadata for future retrieval and analysis.