Enterprise Policy Assistant: A Retrieval-Augmented Generation System for Semantic Enterprise Policy Retrieval

Guttula Satish; Garaga Sri Pushpa Latha; Nandyala Himasri Chakravani; Bokka Hema Siri Chandana; Budharouthula Keerthi Sri; Yalla Venkat

doi:10.64643/ijirtv12i11-197132-459

April 13, 2026International Journal of Innovative Research in TechnologyOpen Access

Enterprise Policy Assistant: A Retrieval-Augmented Generation System for Semantic Enterprise Policy Retrieval

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Key Points

This research aims to assess the effectiveness of educational programs in enhancing waste management knowledge among women.
Evaluated teaching programs designed to improve waste management knowledge.
Utilized a semantic approach for policy retrieval.
Significant improvement in waste management knowledge post-intervention, with a notable increase in correct responses.
Statistical analysis showed positive outcomes indicating the effectiveness of the teaching programs.

Abstract

Explore the article titled Enterprise Policy Assistant: A Retrieval-Augmented Generation System for Semantic Enterprise Policy Retrieval from IJIRT Volume 12, Issue 11. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

Satish et al. (2026) studied this question.

synapsesocial.com/papers/69ec5bd288ba6daa22dad228 https://doi.org/10.64643/ijirtv12i11-197132-459

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Enterprise Policy Assistant: A Retrieval-Augmented Generation System for Semantic Enterprise Policy Retrieval

Key Points

Abstract

Discussion

Cite This Study

Enterprise Policy Assistant: A Retrieval-Augmented Generation System for Semantic Enterprise Policy Retrieval

Key Points

Abstract

Discussion

Cite This Study

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