KIOXIA AiSAQ Boosts AI RAG with Updated Vector Search Library


KIOXIA AiSAQ Boosts AI RAG with Updated Vector Search Library

📅 - With the help of the new open-source release's configurable controls, system architects can now determine the ideal balance between search speed and vector count, two parameters that are mutually exclusive given the system's set SSD storage capacity. The ensuing advantage allows RAG system architects to precisely balance particular workloads and their needs without requiring any changes to the hardware.

The new approximate closest neighbor search (ANNS) algorithm used by KIOXIA AiSAQ software, which was first released in January 2025, is optimized for SSDs and does not require index data to be stored in DRAM. The limitations imposed by limited DRAM capacity are significantly eliminated by [...][... Check source for end of article ...]
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