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Qubrid AI Launches 2-Step No-Code Multimodal RAG Service

Qubrid AI

Qubrid AI, a leader in high-performance GPU Cloud solutions, has announced the launch of its 2-Step No-Code Multimodal Retrieval-Augmented Generation (RAG) as a Service a groundbreaking solution that enables businesses, researchers, and innovators to extract actionable intelligence from their proprietary data instantly, securely, and without writing a single line of code.

Unlike traditional chatbots and large language models (LLMs) that depend on static, pre-trained datasets and often require complex customization to process proprietary files, Qubrid AI’s RAG-as-a-Service empowers users to:

“This is the future of AI interaction,” said Pranay Prakash, CEO of Qubrid AI. “Generic LLMs are powerful, but they’re not built to natively handle your files, verify its answers, or combine multiple data types in one conversation. We’ve solved that – while making RAG instant, no-code, and GPU-accelerated.”

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Key Features of Qubrid AI’s RAG-as-a-Service include:

Powered by Qubrid AI’s enterprise-grade GPU Cloud infrastructure, the platform delivers unmatched speed, scalability, and multimodal AI capabilities. It is designed for industries where accuracy, transparency, and data ownership are critical such as knowledge management, legal services, healthcare, finance, academic research, and customer support.

With this launch, Qubrid AI positions itself at the forefront of AI innovation, offering a secure, no-code, and performance-optimized solution for organizations seeking deeper, more reliable insights from their own data.

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