Day 7 retrieval Augmented generation (rag)

Topic : Retrieval-Augmented Generation (RAG)

Article Source :

• From RAG to Riches: Retrieval-Augmented Generation, Explained
• Research Paper : Retrieval-Augmented Generation for Large Language Models: A Survey

TL;DR :

 Large Language Models (LLMs) showcase impressive capabilities but encounter challenges like hallucination, outdated knowledge, and non-transparent, untraceable reasoning processes. Retrieval-Augmented Generation (RAG) has emerged as a promising solution by incorporating knowledge from external databases. This enhances the accuracy and credibility of the generation, particularly for knowledge-intensive tasks, and allows for continuous knowledge updates and integration of domain specific information.

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