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KIOXIA AiSAQ Software Advances AI RAG with New Version of Vector Search Library
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7 Articles
Updated Kioxia AiSAQ Software Advances AI RAG with New Version of Vector Search Library
In an ongoing effort to improve the usability of AI vector database searches within retrieval-augmented generation (RAG) systems by optimizing the use of SSDs, Kioxia Corporation announced an update to its AiSAQ (All-in-Storage ANNS with Product Quantization) software. This new open-source release introduces flexible controls allowing system architects to define the balance point between search […] The post Updated Kioxia AiSAQ Software Advances…
Kioxia tunes SSD-based vector search for RAG workloads – Blocks and Files
Kioxia has tweaked its AiSAQ SSD-based vector search by enabling admins to vary vector index capacity and search performance for different workloads. RAG (retrieval-augmented generation) is an AI large language model (LLM) technique in which an organization’s proprietary data is used to make the LLM’s responses more accurate and relevant to a user’s requests. It […]
The new open source version enables a flexible balancing of capacity and performance based on user requirements and the environment The article KIOXIA AiSAQ Software ensures perfect balance in vector database search in RAG systems first appeared on IT-I-Ko.
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