Legal Document Analysis and Question Answering using Retrieval-Augmented Generation (RAG) Framework

Explore the article titled Legal Document Analysis and Question Answering using Retrieval-Augmented Generation (RAG) Framework from IJIRT Volume 12, Issue 11. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

Authors

Publication Details

Journal
International Journal of Innovative Research in Technology
Published
2026-04-13
DOI
https://doi.org/10.64643/ijirtv12i11-197134-459
Primary Topic
Artificial Intelligence in Law
Type
article
Field-Weighted Citation Impact
0.00
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article

Legal Document Analysis and Question Answering using Retrieval-Augmented Generation (RAG) Framework

V. Krishna Teja, D. Pavani Sesharatnam, Prof. Y. Venkat, N. Manohar et al.
International Journal of Innovative Research in Technology
Artificial Intelligence in Law
article

Legal Document Analysis and Question Answering using Retrieval-Augmented Generation (RAG) Framework

V. Krishna Teja, D. Pavani Sesharatnam, Prof. Y. Venkat, N. Manohar, B. Raghu Ram
article en

Abstract

Explore the article titled Legal Document Analysis and Question Answering using Retrieval-Augmented Generation (RAG) Framework from IJIRT Volume 12, Issue 11. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

International Journal of Innovative Research in TechnologyVol. 12(11)
Openalex Percentile: Top 4%
Artificial Intelligence in Law
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Legal Document Analysis and Question Answering using Retrieval-Augmented Generation (RAG) Framework — V. Krishna Teja, D. Pavani Sesharatnam, et al. · International Journal of Innovative Research in Technology (2026) | TGRS Research Map | TGRS