Neo4j Vector Search

Lantern is a PostgreSQL extension that enables efficient vector search capabilities, allowing users to perform similarity searches directly within their PostgreSQL databases.

MariaDB Vector is an extension or feature of MariaDB, providing capabilities for handling and querying vector data within the MariaDB ecosystem.

General-purpose, transactional, relational-graph-vector database that uses Datalog for queries. Embeddable but capable of handling large amounts of data and concurrency with HNSW indices for high-performance vector similarity searches.

In-memory graph database with native vector search capabilities powered by USearch. Combines vector embeddings with knowledge graphs for GraphRAG, enabling semantic similarity search alongside graph traversal.

HelixDB is a powerful, open-source graph-vector database built in Rust, designed for intelligent data storage for Retrieval-Augmented Generation (RAG) and AI applications. It combines graph database features with vector search, making it directly relevant to AI and machine learning workflows that require vector data management.

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.