• Lose your RAG

  • 2024/10/25
  • 再生時間: 16 分
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  • サマリー

  • Retrieval augmented generation is how we used to chunk content in huge corpuses of data. Now there's a new sheriff in town - contextual retrieval preprocessing, or contextual RAG. No more relying on keywords; now we're talking hidden relationships between data, which means you can better respond to context inside queries.

    This isn't just about finding information faster, it's about understanding the meaning behind it. Imagine your knowledge base becoming a mind-reader, anticipating needs and delivering precisely what's required, instantly.

    We're talking about boosting agent productivity, empowering them to become knowledge ninjas, and transforming customer interactions into personalized experiences. Get ready to unlock growth by maximizing efficiency and creating a customer service dream team!

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あらすじ・解説

Retrieval augmented generation is how we used to chunk content in huge corpuses of data. Now there's a new sheriff in town - contextual retrieval preprocessing, or contextual RAG. No more relying on keywords; now we're talking hidden relationships between data, which means you can better respond to context inside queries.

This isn't just about finding information faster, it's about understanding the meaning behind it. Imagine your knowledge base becoming a mind-reader, anticipating needs and delivering precisely what's required, instantly.

We're talking about boosting agent productivity, empowering them to become knowledge ninjas, and transforming customer interactions into personalized experiences. Get ready to unlock growth by maximizing efficiency and creating a customer service dream team!

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