As companies collect more unstructured data and increasingly use large language models (LLMs), they need faster and more scalable systems. Advanced tools for finding information, such as retrieval-augmented generation (RAG), can take hours or even days to process massive amounts of data—sometimes at the scale of terabytes or petabytes. Meanwhile, online search applications like ad … Continue reading Enhancing GPU-Accelerated Vector Search in Faiss with NVIDIA cuVS