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Retrieval-Augmented Generation (RAG) is a crucial technique to ensure the accuracy of Large Language Models (LLMs) used in applications like Veritas Alta™ Copilot.
For a closer look at how RAG powers Veritas Alta Copilot, watch this video where I break down the process in detail.
RAG extends the capabilities of traditional LLMs by allowing them to access and integrate the most current data. This is crucial for applications where the accuracy of information directly impacts operational effectiveness.
RAG involves three crucial steps:
In Veritas Alta™ Copilot, RAG is more than a feature—it’s a core functionality that significantly enhances the tool’s reliability and usefulness:
Veritas Alta™ Copilot is not just a tool; it is a strategic asset that empowers IT professionals to manage data more effectively, optimize system performance, and make more informed decisions. Learn more about how Veritas uses Generative AI to simplify data management with Veritas AltaTM Copilot.
Written By
Varun Grover
Global Lead, AI