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