May 16, 2024, 11:33 p.m. | Chloe Williams

DEV Community

Retrieval Augmented Generation (RAG) stands out as a significant innovation in Natural Language Processing (NLP), designed to enhance text generation by integrating the retrieval of relevant information from a vast database. Developed by researchers including Patrick Lewis and his team, RAG combines the power of large pre-trained language models with a retrieval system that pulls data from extensive sources like Wikipedia to inform its responses.

What is Retrieval Augmented Generation (RAG)?

RAG is a hybrid model that merges the capabilities …

ai database guide information innovation language language models language processing natural natural language natural language processing nlp power processing rag researchers retrieval retrieval augmented generation strategies team text text generation vast vectordatabase

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