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      "ref": "gpreda/rag-system-using-gemma-2-langchain-and-chromadb",
      "kernel_id": "66579055",
      "votes": 20
    },
    {
      "ref": "khandelwal10iitj/advanced-rag-with-gemma-weaviate-and-llamaindex",
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      "votes": 1
    },
    {
      "ref": "pinthattheparkinglot/gemma-working",
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    },
    {
      "ref": "rhodanankabirwa5/quit-smoking-chatbot",
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      "votes": 0
    },
    {
      "ref": "hongbotrn/starter-llm-rag-implementation",
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    },
    {
      "ref": "yuyutsusaini/prompt-gemma-like-a-pro",
      "kernel_id": "70350260",
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    },
    {
      "ref": "docxian/experimenting-with-llms",
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      "votes": 8
    },
    {
      "ref": "ghazouanihaythem/cheating-data-science-questions-with-wikipedia-rag",
      "kernel_id": "71480879",
      "votes": 1
    },
    {
      "ref": "nghialuutrung/make-a-smart-python-assistant-with-gemma",
      "kernel_id": "72913997",
      "votes": 1
    },
    {
      "ref": "soyansoon/fine-tuning-the-gemma-model-for-kaggle-assistant",
      "kernel_id": "73695080",
      "votes": 2
    },
    {
      "ref": "saidineshpola/gemma-2-finetuning-on-telugu-news-mi-with-sae",
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      "votes": 17
    },
    {
      "ref": "saidineshpola/gemma-2-finetuning-on-telugu-news-dataset",
      "kernel_id": "74196199",
      "votes": 3
    },
    {
      "ref": "cseewuzafor/pdf-rag",
      "kernel_id": "74994523",
      "votes": 0
    },
    {
      "ref": "suryanshyagnik/medqa-finetuned-rag-fl",
      "kernel_id": "75706840",
      "votes": 78
    },
    {
      "ref": "tiens0710/build-ai-agents-with-google-s-llm-gemma",
      "kernel_id": "84502054",
      "votes": 4
    },
    {
      "ref": "tiens07102004/doan3",
      "kernel_id": "89241196",
      "votes": 0
    }
  ],
  "count": 455
}