Improved Naive RAG by Integrated Advanced Techniques: A Comprehensive Framework Using Parent-Child Architecture, Hybrid Retrieval, and Contextual Compression
| dc.contributor.author | Aromsuk, Tinnarat | |
| dc.contributor.author | Netisopakul, Ponrudee | |
| dc.contributor.author | Nootyaskool, Supakit | |
| dc.date.accessioned | 2026-08-06T10:56:01Z | |
| dc.date.available | 2026-08-06T10:56:01Z | |
| dc.date.issued | 2026-07-01 | |
| dc.description.abstract | This paper presents a novel approach to enhance Retrieval-Augmented Generation (RAG) systems through the integration of three advanced techniques: Parent-Child Architecture, Hybrid Retrieval, and Contextual Compression with cross-encoder re-ranking. We implement this framework using Langchain and FAISS vector search, with Anthropic’s Claude as the foundation model. Our comprehensive evaluation across 14 diverse Wikipedia-based knowledge domains employs the RAGAS framework to measure multiple performance dimensions. Results demonstrate that our advanced framework yields significant improvements in key metrics: Context Precision 10.11%, Context Recall 2.25%,and BLEU scores 1.14% compared to Naive RAG implementations. Domain analysis reveals particularly strong performance in Medicine 8.0% BLEU, Science 4.9%, and specialized Technology domains 4.9%. While, some technical domains such as Cybersecurity (−2.4%) and Biology (−6.6%) show performance degradation. Our framework achieves these improvements with minimal computational overhead by 1.89%,offering a practical approach to implementing domain-adaptive RAG systems that optimize context quality for improved generation performance. | |
| dc.identifier.citation | IEICE Transactions on Information and Systems, E109.D(7), 1057-1068, 2026 | |
| dc.identifier.doi | 10.1587/transinf.2025DAP0003 | |
| dc.identifier.issn | 09168532 | |
| dc.identifier.other | 2-s2.0-105043683356 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/18231 | |
| dc.source | IEICE Transactions on Information and Systems | |
| dc.subject | contextual compression | |
| dc.subject | domain-specific generation | |
| dc.subject | hybrid retrieval | |
| dc.subject | parent-child architecture | |
| dc.subject | re-ranking | |
| dc.subject | retrieval-augmented generation | |
| dc.title | Improved Naive RAG by Integrated Advanced Techniques: A Comprehensive Framework Using Parent-Child Architecture, Hybrid Retrieval, and Contextual Compression | |
| dc.type | Article |