FalkorDB and Neo4j are two leading graph database technologies with distinct strengths and applications, particularly in the context of AI. FalkorDB is optimized for real-time AI applications, offering ultra-low latency and seamless integration with large language models (LLMs), which makes it ideal for AI-driven knowledge retrieval and Graph Retrieval Augmented Generation (GraphRAG) systems. It supports multi-graph architectures and boasts advanced features like sparse adjacency matrices and vector indexing for high-dimensional data searches. On the other hand, Neo4j is a mature and versatile graph database known for its general-purpose use, with a large community and a proven track record across various industries. Neo4j provides an intuitive graph data model with Cypher query language and supports both vector index and multi-tenancy. While both databases can handle complex, large-scale data relationships, FalkorDB is particularly suited for AI applications requiring high performance and tight LLM integration, whereas Neo4j is ideal for broader use cases where extreme performance is not critical.