Edvaldo Melo

Sharing my knowledge and insights on AI and Data Science.

Category: Vector Databases

  • Vector Databases: HNSW Algorithm

    To perform a search in a vector database containing millions or even billions of high-dimensional vectors, it would be necessary to compute the similarity between the query vector and every stored vector and then return the top-k nearest vectors. This approach is known as exact search and, although it guarantees exact results, it becomes computationally…

  • Vector Databases: Getting Started

    A vector database is a system designed to store and retrieve high-dimensional vectors through similarity search. These vectors are numerical representations of different types of data, such as text, images, audio, and video. In practice, vector databases are primarily used to store embeddings, which are numerical representations generated by machine learning models that preserve the…