metadata
license: mit
task_categories:
- text-generation
- question-answering
language:
- en
- zh
tags:
- llm
- rag
- agent
- knowledge-base
- research
size_categories:
- 1K<n<10K
llm-rag-agent-papers
Research papers on LLM, RAG, and AI Agents - Knowledge base for RAG pipeline
Dataset Structure
This dataset contains three subsets:
- llm: Large Language Model related content
- rag: Retrieval-Augmented Generation related content
- agent: AI Agent related content
Usage
from datasets import load_dataset
# Load all subsets
dataset = load_dataset("GXMZU/llm-rag-agent-papers")
# Load specific subset
llm_data = load_dataset("GXMZU/llm-rag-agent-papers", "llm")
rag_data = load_dataset("GXMZU/llm-rag-agent-papers", "rag")
agent_data = load_dataset("GXMZU/llm-rag-agent-papers", "agent")
Use Case
This dataset is designed as a knowledge base for RAG (Retrieval-Augmented Generation) pipelines, providing domain-specific content about LLM, RAG, and AI Agent technologies.
License
This dataset is licensed under MIT.
Citation
If you use this dataset in your research, please cite:
@misc{llm-rag-agent-papers,
title={LLM RAG Agent papers},
author={real-jiakai},
year={2025},
url={https://huggingface.co/datasets/GXMZU/llm-rag-agent-papers}
}