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.