Join us as we explore the advancements and challenges in implementing Retriever-Augmented Generation (RAG) systems for document retrieval and summarization, examining selective information inclusion, re-ranking strategies, and the importance of document parsing and query pre-processing. We discuss with Denys Linkov the practical applications, benefits, and considerations of RAG-based solutions in improving information retrieval accuracy and relevance.
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Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and LLM Security.
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