With single SQL query in SingleStoreDB, you can easily get the top K vector matches in each category, making it a powerful tool for vector database processing and semantic search applications. This approach offers full SQL support, allowing developers to focus on ease of expression rather than performance considerations. By leveraging the power of the query language, SingleStoreDB makes it easier to tackle complex nearest-neighbor search tasks, such as those found in chatbots, LLM applications, face matching, object matching, and more.