Enhancing Retrieval - Augmented Generation with Graph-Based Retrieval and Generative Modeling

This paper presents the design and implementation of a robust RetrievalAugmented Generation (RAG) system that integrates advanced retrieval, ranking, and generative techniques to address knowledge-intensive tasks

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.15308/sinteza-2025-3-9
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
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article

Enhancing Retrieval - Augmented Generation with Graph-Based Retrieval and Generative Modeling

Nebojša Bačanin Džakula, Angelina Njeguš, Dejan Vujić
Topic Modeling
article

Enhancing Retrieval - Augmented Generation with Graph-Based Retrieval and Generative Modeling

Nebojša Bačanin Džakula, Angelina Njeguš, Dejan Vujić
article en

Abstract

This paper presents the design and implementation of a robust RetrievalAugmented Generation (RAG) system that integrates advanced retrieval, ranking, and generative techniques to address knowledge-intensive tasks

Openalex Percentile: Top 93%
Topic Modeling
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Enhancing Retrieval - Augmented Generation with Graph-Based Retrieval and Generative Modeling — Nebojša Bačanin Džakula, Angelina Njeguš, et al. · (2025) | TGRS Research Map | TGRS