Vector databases are commonly used to store vector embeddings for tasks such as similarity search to build recommendation and question-answering systems. Milvus is a popular open-source database that stores embeddings in the form of vector data. It is well-suited and offers indexing features like Approximate Nearest Neighbours (ANN) that enable fast and accurate results. This article explains how to implement AI-powered search with Python and a Milvus Database. You will use a HuggingFace dataset......