CozoDB

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.

An enhancement to the Neo4j graph database providing vector search capabilities through dedicated indexes.

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.

Open-source distributed graph database designed for super large-scale graphs with billions of vertices and trillions of edges. Outperforms Neo4j on larger datasets while providing graph database capabilities for AI applications.

Distributed key-value NoSQL database with experimental vector similarity search. Redis-compatible with RocksDB storage engine, adding HNSW-based vector indexing for large-scale vector data management.