This white paper describes a complete enterprise RAG (Retrieval-Augmented Generation) architecture combining Pure FlashBlade//S, NVIDIA NeMo microservices, vector databases, and GPUs. It details how FlashBlade accelerates embedding generation, vector indexing, and high-throughput retrieval for large-scale knowledge bases. The platform supports multimodal workloads, integrates cleanly with cloud or on-prem environments, and simplifies deployment with modular building blocks. The paper focuses on reliability, scalability, data-security controls, and the ability to deliver fast, accurate GenAI results while avoiding the complexity of custom-built RAG pipelines.

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