Trieve provides an all-in-one infrastructure for vector search, recommendations, retrieval-augmented generation (RAG), and analytics, accessible via API for seamless integration.

Neo4j is a graph database that has added vector search capabilities, providing unique and effective approaches for retrieval augmented generation (RAG) and other AI applications.

Qdrant is a dedicated vector database and similarity search engine supporting advanced filtering and efficient retrieval, suitable for faceted search and retrieval-augmented generation. It offers self-hosted and cloud deployment options, making it highly relevant for vector search applications.

Arroy is an open-source library for efficient similarity search and management of vector embeddings, useful in vector database systems.

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

Crate is an open-source distributed SQL database with support for vector data types and vector search, suitable for AI-driven applications.