AI Research

AI & ML Research Papers

A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.

All Papers

4 papers

Preprint2025

EchoRAG: a framework for enhancing language models with graph-RAG and in-context learning

Unknown

EchoRAG enhances compact LLMs with Graph-RAG and in-context learning to match or exceed larger models like 7B on knowledge-intensive tasks.

0Jan 1, 2025In Context Learning

Preprint2024

Leveraging graph-rag and prompt engineering to enhance llm-based automated requirement traceability and compliance checks

Unknown

This study demonstrates that integrating a robust Graph-RAG framework with advanced prompt engineering techniques, such as Chain of Thought and Tree of Thought, can significantly enhance LLM-based automated requirement traceability and compliance che

0Dec 1, 2024Prompting

arXiv

Preprint2026

The reasoning bottleneck in graph-rag: Structured prompting and context compression for multi-hop qa

Yasaman Zarinkia, Venkatesh Srinivasan, Alex Thomo

This paper identifies and addresses the reasoning bottleneck in Graph-RAG systems for multi-hop QA through structured prompting and context compression.

0Mar 1, 2026PromptingReasoning

arXiv

Preprint2025

Ket-rag: A cost-efficient multi-granular indexing framework for graph-rag

Unknown

Proposes Ket-rag, a cost-efficient multi-granular indexing framework for Graph-RAG that reduces indexing costs while maintaining retrieval quality.

0Jan 1, 2025Retrieval Augmented Generation