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Home/Glossary/Vector Database
AI Glossary Term

What does “Vector Database” mean?

Definition

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

Related terms

HNSW
A graph-based index structure for fast approximate nearest-neighbor search over high-dimensional vectors.
Embedding
A numeric vector representation that captures semantic meaning of text, images, or other data.
Word Embedding
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.
Gradient
A vector showing how much each parameter should change to reduce loss.

Learn more in our free guides

Vector DatabasesResidual Vector QuantizationX-Vector Speaker EmbeddingsFunction Vectors and Task Representations

See also

Validation SetVision-Language Model (VLM)Unsupervised LearningWeak SupervisionTraining LossWeightTransformerTransfer Learning
PreviousValidation SetNextVision-Language Model (VLM)
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