Hybrid Retrieval-Augmented Generation Approach for LLMs Query Response Enhancement

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Omrani Pouria; Hosseini Alireza; Hooshanfar Kiana; Ebrahimian Zahra; Toosi Ramin; Akhaee Mohammad Ali

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Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2024 | Issue:10

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Title

Hybrid Retrieval-Augmented Generation Approach for LLMs Query Response Enhancement

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Keywords

LLM

Generative AI

NLP

Retrieval Augmented Generation (RAG)

Abstract

In the domain of Natural Language Pro-cessing (NLP), the integration of Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) represents a significant advancement towards enhancing the depth and relevance of model-generated responses. This paper introduces a novel hybrid RAG framework that synergizes the Sentence-Window and Parent-Child methodologies with an innovative re-ranking mechanism, aimed at optimizing the query response capabilities of LLMs. By leveraging exter-nal knowledge sources more effectively, the proposed method enriches LLM outputs with greater accuracy, relevance, and information fidelity. We subject our hybrid model to rigorous evaluation against bench-mark datasets and metrics, demonstrating its superior performance over existing state-of-the-art RAG tech-niques. The results highlight our method’, s enhanced ability to generate responses that are not only contex-tually appropriate but also demonstrate a high degree of faithfulness to the source material, thereby setting a new standard for query response enhancement in LLMs. Our study underscores the potential of hybrid RAG models in refining the interaction between LLMs and external knowledge, paving the way for future research in the field of NLP.

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APA: Copy

Omrani, Pouria, Hosseini, Alireza, Hooshanfar, Kiana, Ebrahimian, Zahra, Toosi, Ramin, & Akhaee, Mohammad Ali. (2024). Hybrid Retrieval-Augmented Generation Approach for LLMs Query Response Enhancement. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/1147392/en

Vancouver: Copy

Omrani Pouria, Hosseini Alireza, Hooshanfar Kiana, Ebrahimian Zahra, Toosi Ramin, Akhaee Mohammad Ali. Hybrid Retrieval-Augmented Generation Approach for LLMs Query Response Enhancement. 2024. Available from: https://sid.ir/paper/1147392/en

IEEE: Copy

Pouria Omrani, Alireza Hosseini, Kiana Hooshanfar, Zahra Ebrahimian, Ramin Toosi, and Mohammad Ali Akhaee, “Hybrid Retrieval-Augmented Generation Approach for LLMs Query Response Enhancement,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2024, [Online]. Available: https://sid.ir/paper/1147392/en

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