FalkorDB has announced the release of its version 4.0.0-a1, introducing significant updates, including Vector Index support and Bolt protocol integration. The Vector Index feature enables users to perform vector similarity searches, allowing high-dimensional vectors like embeddings or image features to be stored and queried based on cosine similarity or Euclidean distance. This enhancement broadens the application scope to areas such as recommendation systems, natural language processing, and computer vision. The integration of the Bolt protocol facilitates a seamless transition from Neo4J to FalkorDB, allowing users to maintain their existing code and data models while leveraging FalkorDB's enhanced scalability and performance. These advancements are part of FalkorDB's efforts to enhance the graph database architecture for generative AI and retrieval-augmented generation workflows.