Vector Representations and Data Retrieval

This chapter explores the concept of vector representations of words and their applications across various data types, including text, images, and videos. It discusses the importance of embedding models in transforming data into numeric formats for semantic searches and highlights the integration of vector databases with graph databases. By examining techniques like vector similarity search, the chapter illustrates how these methods enhance data retrieval and compatibility in modern data management.