The world's most-used vector database — Elasticsearch

Elasticsearch is not only a full vector database. It also features multiple retrieval types (text, sparse and dense vector, hybrid) and your choice of machine learning model architectures.

See vector search in action

Vector search — the next generation of search retrieval

Create, store, and search vector embeddings at scale. With hybrid retrieval techniques — combining text and vector search — you get the best of both capabilities for greater relevance and accuracy.

  • Build search that focuses on natural language, intent, and contextual meaning, beyond text matching.

  • Search across all your structured and unstructured data: text, vector, image, audio, video, or geo.

  • Implement retrieval-augmented generation (RAG) for gen AI search experiences with vector and hybrid relevance.