Title: Retrieval Augmented Generation (RAG): The Future of Human-Like Interactive Language Models
medium.com/@greg.broadhead/title-retrieval-augmented-generation-rag-the-future-of-human-like-interactive-language-models-df9cf5906bb8
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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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