video1.0<iframe src="https://www.loom.com/embed/cb6c432060f94d1eb4a384a1f03f3a0a" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/cb6c432060f94d1eb4a384a1f03f3a0a-aeaacd17af7d4ae2.gif80.21This Loom demonstrates a simple RAG automation that converts a document from Google Drive into a vector database for an AI agent’s memory. The example takes a FAQ file, downloads it from Google Drive, and uses OpenAI Embeddings to turn it into a MINECON vector database under a namespace named FAQ. It then shows a chatbot that queries this vector database to retrieve relevant information, such as answering a user’s question about the return policy based on the document.