AI Glossary Term

What is Vector Database?

Definition

A database optimized for storing and querying high-dimensional embedding vectors.

Related terms

A graph-based index structure for fast approximate nearest-neighbor search over high-dimensional vectors.

A numeric vector representation that captures semantic meaning of text, images, or other data.

A dense vector representation of words capturing semantic relationships.

Embedding Model

A model specialized for converting data into vectors used for semantic search, clustering, and retrieval.

Convolutional Neural Network (CNN)

A neural architecture optimized for processing grid-like data such as images.

A vector showing how much each parameter should change to reduce loss.

Learn more in our free guides

Vector Databases Residual Vector Quantization X-Vector Speaker Embeddings Function Vectors and Task Representations

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