What does ANN (Approximate Nearest Neighbor) mean? Definition | AI Understanding

Definition

Algorithms that find vectors close to a query without exhaustive comparison, trading exactness for speed.

Related terms

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

RoPE (Rotary Positional Embeddings)

A positional encoding method that rotates query and key vectors to encode relative token positions.

Continual Learning

Training approaches that let a model keep learning from new data without forgetting prior knowledge.

Intent Classification

Predicting the user's purpose from a text query to route it correctly.

Finding relevant documents or records from a knowledge source for a query.

Unsupervised Learning

Learning patterns from unlabeled data without explicit target outputs.

Learn more in our free guides

Warmup and Cosine Annealing Schedules K-Nearest Neighbors AI in Inventory Demand Planning AI in Urban Planning and Smart Cities

See also

SentencePiece BPE (Byte Pair Encoding)Reranker Sliding Window Attention Hybrid Search ALiBi Cross-Encoder Bi-Encoder

Browse the full AI Glossary Explore all free AI guides