Agentic RAG on Dell AI Factory with NVIDIA and Elasticsearch vector database

We are excited to collaborate with Dell on the white paper,Agentic RAG on Dell AI Factory with NVIDIA. The white paper is a design reference document for developers outlining strategies and solution components to implement agentic retrieval augmented generation (RAG) applications. It’s a design point for organizations across industries, specifically healthcare, for the agentic RAG framework decision-making with AI-driven data retrieval.

Elasticsearch is the world’s most downloaded vector database — and we continue to extend our advantage. We recently introduced Better Binary Quantization (BBQ), which brings significant speed and efficiency benefits for storing large vectorized data sets. Elastic is the only vector database that offers this capability (at the time of publication). BBQ outperforms traditional approaches like Product Quantization (PQ) in indexing speed (20x–30x less quantization time) and query speed (2x–5x faster queries) with no additional loss in accuracy.

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