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Towards Agentic Rag With Deep Reasoning: A Survey of Rag-Reasoning Systems in Llms by dadecasoo is a document available to read on EtoBox.

This survey explores the integration of Retrieval-Augmented Generation (RAG) and reasoning systems in Large Language Models (LLMs), highlighting the limitations of current methods that often fail in complex inference tasks. It discusses two enhancement approaches: Reasoning-Enhanced RAG and RAG-Enhanced Reasoning, and introduces the concept of Synergized RAG-Reasoning frameworks that iteratively combine retrieval and reasoning for improved performance. The document categorizes existing methods, datasets, an

Author

dadecasoo

Language

EN