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RAG stands for Retrieval-Augmented Generation.
It’s a technique that enhances the responses returned by a large language model (LLM) to be more accurate. LLMs alone can answer many questions provided to them. But to respond with accurate answers and cite sources, the LLM needs help to do some research.
In this post, we’ll show how to do this in real-time using Apache Pinot.

Hubert Dulay
Author of the O'Reilly book “streaming data mesh." Developer Advocate at StarTree. He is currently writing his second book "Streaming Databases." Hubert is a veteran engineer with over 20 years of experience in big & fast data and ML.
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Related topics

Machine Learning
Cloud Computing
Big Data
Data Science
Engineering

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