The latest version of Redis OM .NET now supports Redis vector search and integrates with embedding generation APIs from OpenAI, Azure OpenAI, Hugging Face, and ML.NET, enabling users to efficiently store and query vector data without requiring extensive knowledge of vector construction. This allows for semantic searches and caching capabilities, making it easier to implement AI-powered applications that rely on vector databases. With the introduction of intuitive interfaces for vector search and semantic caching, users can easily build and query vector indexes, convert unstructured data into vectors, and construct queries using simple lines of code.