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What is Information Retrieval and Retrieval-Augmented Generation about?

This chapter discusses information retrieval (IR) and retrieval-augmented generation (RAG) in the context of large language models (LLMs). It highlights the challenges LLMs face, such as hallucination and lack of calibration, when answering factual questions and emphasizes the importance of integrating external knowledge sources to improve accuracy. The chapter also introduces the architecture of IR systems and the methods used for document retrieval, including sparse and dense vector representations.

Author

nagulavanya05

Language

EN