Search Results
3 results for “semantic search”
Foundations
Embedding
An embedding is a dense numerical vector representation of data — such as text, images, or audio — that encodes semantic meaning in a continuous high-dimensional space, enabling machine learning models to measure similarity and relationships.
6 min readUpdated May 2026
Applications
Semantic Search
Semantic search is a search paradigm that retrieves results based on the meaning and intent of a query rather than exact keyword matches, using vector embeddings to measure conceptual similarity between text.
6 min readUpdated May 2026
Infrastructure
Vector Database
A specialised database system that stores data as high-dimensional numerical vectors and enables fast approximate nearest-neighbour search, forming the retrieval backbone of semantic search and RAG systems.
7 min readUpdated May 2026