---
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

```python
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}
}
```