Top 9 Different Types of Retrieval-Augmented Generation (RAGs)

Retrieval-Augmented Generation (RAG) is a machine learning framework that combines the advantages of both retrieval-based and generation-based models. The RAG framework is highly regarded for its ability to handle large amounts of information and produce coherent, contextually accurate responses. It leverages external data sources by retrieving relevant documents or facts and then generating an answer […]

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Summary

The article discusses the concept of Retrieval-Augmented Generation (RAG), a machine learning framework that combines retrieval-based and generation-based models. RAG is known for its ability to handle large amounts of information and generate coherent responses by retrieving relevant data from external sources. The article highlights the top 9 different types of RAG models.

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