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RAG Explained: What Is Retrieval-Augmented Generation?

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Retrieval-Augmented Generation (RAG) is a cutting-edge approach in AI that combines large language models (LLMs) with real-time information retrieval to produce more accurate and context-aware outputs. Industry leaders have quickly embraced RAG as a way to build more intelligent AI applications. and real SaaS examples using RAG.

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Best Applicant Tracking Systems for 2025

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Importantly, ATS platforms have evolved with AI-driven features , diversity and bias reduction tools , and deep analytics to meet todays hiring challenges. From cloud-based SaaS solutions to on-premise enterprise software , businesses worldwide are leveraging ATS technology to build efficient, fair, and scalable hiring pipelines.