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.