Elasticsearch Vector Search
Also called: Elastic Vector Search
A vector search capability in Elasticsearch that enables semantic search by indexing and querying vector embeddings using approximate nearest neighbor (ANN) algorithms.
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Related terms
Embedding Model
A machine learning model that converts text, images, audio, or other data into dense numerical vector representations that capture semantic meaning for retrieval, similarity search, and related AI tasks.
Semantic SearchA search technique that analyzes sentence meaning and intent rather than matching literal keywords.