This blog explores the necessity of incorporating embedding support into feature stores, highlighting the significant influence and possibilities unlocked by large language models (LLMs). In this exploration, we’ll uncover the interconnectedness among embeddings, feature stores, and LLMs, delving into the future possibilities of this combination in contemporary AI applications.