Introduction

2023 is turning out to be the year in which vector databases emerge from the shadows. They will power the next generation of AI applications and serve as long-term memory for LLM or large language model-based workloads. Vectors are numerical arrays that characterize an object. Deep learning models generate vectors to simplify how they process multi-structured content. The world needs vector databases to unleash the value trapped in unstructured data.