Milvus is an open-source vector database used to store, index, and efficiently search high-dimensional vector data. It's particularly useful in applications involving similarity searches across unstructured data, such as Generative Chat responses, product recommendations, and more. By using Airbyte, it's straightforward to transfer data from many different sources into Milvus, calculating vector embeddings of texts along the way. The power of embeddings is to be able to search for relevant pieces of information, even if similar concepts are phrased differently. This article demonstrates how to use Zilliz Cloud as a vector store, Airbyte to extract and load the data, OpenAI embedding API to calculate embeddings, and Streamlit to build a smart submission form showing relevant data.