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What is Retrieval Augmented Generation (RAG)?
Explore Retrieval Augmented Generation (RAG) RAG: Integrating LLMs with data search for nuanced AI responses. Understand its applications and impact.
Updated Jan 2024 · 8 min read
What is Retrieval Augmented Generation (RAG)?
Why is RAG important in improving the functionality of LLMs?
How does RAG work? What are the steps involved in its implementation?
What are some challenges in implementing RAG systems and how can they be addressed?
Can RAG be integrated with different types of language models apart from GPT-3 or GPT-4?
What differentiates RAG from traditional search engines or databases?
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