GitHub

PROPEX-RAG: Enhanced GraphRAG using Prompt Driven Prompt Execution

ProPEX-RAG is a prompt-driven, entity-guided RAG framework that emphasizes the role of prompt design in improving retrieval and reasoning across large knowledge graphs. Our approach unifies symbolic ...
IEEE

Agri-RAG: A Context-Aware Framework for Precision Agricultural Information Retrieval

Abstract: General-purpose Large Language Models (LLMs) and standard Retrieval-Augmented Generation (RAG) systems fail to address the multifaceted, context-dependent nature of agricultural queries, ...
GitHub

A Python-native CI/CD framework for defining, testing, and transpiling pipelines to GitHub ...

Below is an example of a Python-defined pipeline that mirrors what most teams use in production — build, lint, test, coverage, and deploy — all orchestrated through pygha. --src-dir: Source directory ...
IEEE

A Legal-BERT Validated RAG Framework for Trustworthy AI-Assisted Legal Reasoning

Abstract: The integration of Artificial Intelligence (AI) into legal workflows presents both transformative potential and critical challenges, particularly regarding the reliability and legal validity ...
Frontiers

A self-correcting Agentic Graph RAG for clinical decision support in hepatology

Introduction: Clinical decision-making in hepatology is currently challenged by the rapid expansion of medical knowledge and the limitations of Large Language Models (LLMs), specifically their ...