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Super charge your LLMs with RAG at scale using AWS Glue for Apache Spark

AWS Machine Learning Blog

An AI technique called embedding language models converts this external data into numerical representations and stores it in a vector database. This process creates a knowledge library that generative AI models can understand. These functions will be used inside a Spark Python user-defined function (UDF) in later cells.

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