What is RAG?
Retrieval-Augmented Generation (RAG) is a type of artificial intelligence (AI) model that combines the strengths of two AI approaches: retrieval-based models and generation-based models.
Benefits of RAG
- Improved accuracy: RAG models ensure that the generated content is accurate and relevant to the user's request.
- Increased novelty: RAG models can generate novel and creative content that is not simply a repetition of existing information.
- Enhanced creativity: RAG models can generate diverse and engaging content by combining the retrieved information with the generation model's ability to produce novel text.
At What is RAG? , we are dedicated to unlocking the mysteries of AI and NLP for enthusiasts, professionals, and curious minds alike.
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