OpenSearch Vector Search is the vector similarity search and AI search capability within the OpenSearch engine, supporting vector indices, ingestion of embedding data, and search methods including raw vector search, semantic search, hybrid search, multimodal search, and neural sparse search. It enables building RAG and conversational search applications using either user-provided embeddings or embeddings generated automatically by OpenSearch.

Meilisearch offers vector search capabilities as part of its search engine, enabling hybrid and semantic search for AI applications.

Google Vertex AI offers managed vector search capabilities as part of its AI platform, supporting hybrid and semantic search for text, image, and other embeddings.

Fully managed cloud service for the open-source Typesense search engine, including support for vector search and hybrid search use cases.

Bleve is an open-source search library with experimental support for vector search, enabling hybrid search and retrieval in applications.

Vectara is a commercial vector database and search platform that enables semantic and hybrid AI-powered search using vector embeddings.