What is a vector database?
Vector databases are designed to store and search high-dimensional data, such as embeddings of text, images, or audio. These tools are critical in artificial intelligence and machine learning applications, as they enable semantic searches, recommendation engines, and RAG systems. With techniques such as Approximate Nearest Neighbor (ANN) and similarity metrics such as cosine and Euclidean distance, they ensure high performance even with large volumes of data. Although they are very powerful, they present challenges, such as complexity in management and integration with legacy systems.
