MongoDB vs Neo4j: Selecting the Right Database for GenAI Applications

MongoDB Atlas Vector Search and Neo4j are two prominent databases with vector search capabilities, essential for recommendation engines, image retrieval, and semantic search in AI-driven applications. Both use the Hierarchical Navigable Small World (HNSW) algorithm for indexing and searching vector data. MongoDB Atlas Vector Search is built into its document-based architecture, while Neo4j has vector search built into its graph structure. The choice between them depends on factors such as data model, application requirements, scaling needs, and integration preferences.