Title: Retrieval Augmented Generation (RAG): The Future of Human-Like Interactive Language Models


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  • Cons of RAG:

  • Retrieval Augmented Generation (RAG)

  • A typical RAG system consists of two main components; a retriever network responsible for searching through large volumes of unstructured data from diverse sources including web pages, documents, databases, etc.

  • Why it matters:

  • Coherence

  • Hallucination

  • Currency

  • * Computational Overhead

  • * Data Privacy Concerns

  • * Accurate Search Results

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