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Understanding Retrieval-Augmented Generation by code.ai is a document available to read on EtoBox.

What is Understanding Retrieval-Augmented Generation about?

Retrieval-Augmented Generation (RAG) is an AI framework that merges traditional information retrieval with generative large language models to provide accurate and relevant responses. It enhances language models by allowing them to access current and reliable external data during the response generation process. RAG operates through retrieval and pre-processing of information followed by grounded generation, which integrates this data into the language model for improved accuracy.

Author

code.ai

Language

EN