Vector search is now generally available in DocumentDB, the open-source engine powering vCore-based Azure Cosmos DB for MongoDB. With this feature, you can build smarter applications that go beyond keyword search. Vector search helps you find similar items in your data—like matching product descriptions, identifying related content, or analyzing unstructured inputs such as images or embeddings. Built directly into DocumentDB, this update means you don’t need to integrate separate services or move your data elsewhere. You get native support for vector search while still using a familiar MongoDB interface, saving time and development effort. And because it runs on an open-source engine, you retain flexibility without vendor lock-in.