What is Vector Embedding?
Vector embeddings are numerical representations of data that machine learning language (MLL) models and search engines can process. They take unstructured content (like videos, text, and images) and convert them into numerical values that these models can interpret and build relationships between pieces of content. Vector embeddings allow for a wider range of semantic meanings […]








