Redis, in collaboration with Superlinked's vector compute framework, offers a solution for complex data processing that can be used to build real-time applications with high responsiveness and low latency. This combination is particularly useful for large language models (LLMs) dealing with structured data types like prices, dates, product categories, and popularity metrics. Superlinked's vector compute framework enables the creation of custom vector embeddings that combine structured and unstructured data in one unified vector space, while Redis' lightning-fast vector database is ideal for customer-facing use cases requiring quick responses such as real-time recommender systems. This partnership helps enterprises overcome challenges in moving from proof-of-concept to production and fully realize the potential of their GenAI apps.