What is a Vector Database? Powering Semantic Search & AI Applications

Martin Keen explains how vector databases use vector embedding to bridge the semantic gap, enabling advanced semantic search. Explore AI innovations like retrieval-augmented generation (RAG) and efficient similarity searches.