Milvus 2.4 Unveils CAGRA: Elevating Vector Search with Next-Gen GPU Indexing

Milvus 2.4 introduces CAGRA (CUDA Anns GRAph-based), a GPU-based graph index that significantly enhances vector search performance. Leveraging the parallel capabilities of GPUs, CAGRA offers improved efficiency in both small and large batch queries compared to traditional methods like HNSW. Additionally, CAGRA accelerates index building by approximately 10 times. The integration of CAGRA into Milvus marks a significant milestone in overcoming challenges associated with GPU-based vector search algorithms and sets the stage for future advancements in high recall, low latency, cost efficiency, and scalability in vector search.