Which term refers to a repository that stores files as vectors and metadata for similarity search?

Which term refers to a repository that stores files as vectors and metadata for similarity search?

• A. Data Lake
• B. Completeness
• C. Accuracy
• D. Vector Database

Answer: (D)

A vector database is a storage system designed to keep data as high-dimensional vectors along with associated metadata so it can perform similarity search efficiently. By representing items like text, images, or audio as numerical vectors, the database can compare a query vector to thousands or millions of others using distance metrics such as cosine similarity or Euclidean distance, returning the closest matches. The metadata enriches results with context and enables filtering or ranking beyond raw vector proximity. Data lakes store data in their native formats for broad analytics and not specifically optimized for fast vector-based similarity retrieval, so they aren’t the right fit for this use case. Completeness and accuracy describe data quality attributes rather than a storage mechanism for similarity-based search.

A vector database is a storage system designed to keep data as high-dimensional vectors along with associated metadata so it can perform similarity search efficiently. By representing items like text, images, or audio as numerical vectors, the database can compare a query vector to thousands or millions of others using distance metrics such as cosine similarity or Euclidean distance, returning the closest matches. The metadata enriches results with context and enables filtering or ranking beyond raw vector proximity.

Data lakes store data in their native formats for broad analytics and not specifically optimized for fast vector-based similarity retrieval, so they aren’t the right fit for this use case. Completeness and accuracy describe data quality attributes rather than a storage mechanism for similarity-based search.