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

NucliaDB is a commercial vector database that enables semantic and vector search across unstructured data, supporting advanced AI and ML-powered applications.

Denser Retriever is a vector-based retrieval system designed for efficient similarity search and information access in AI and ML workloads.

Marqo is an open-source neural search engine that leverages vector representations to enable semantic search over textual data. It abstracts vector database complexity and provides a high-level interface for building advanced search applications.

LiquidMetal AI is a platform providing intelligent storage with built-in AI capabilities, including vector database features for building advanced AI applications.

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.