Powering Vector Embedding Capabilities

Expedia Group Technology — Data Science Empowering developers with seamless vector embedding solutions Photo by Daniela Cuevas on Unsplash Introduction Rapid advances in Machine Learning (ML), especially Generative AI, have increased the need for specialized capabilities like vector embedding similarity search. Vector embeddings are the numerical representations created by machine learning models which allow disparate inputs to be compared against each other. A similarity search can be accomplished by querying an indexed collection of vectors for items similar to a given vector.