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windmaple committed Dec 24, 2024
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"\n",
"You may be asking, why does one need to use search grounding for this purpose? Well, as you may be aware, today's business world evolves very fast and LLMs generally are not trained frequently enough to capture the latest updates. Luckily Google search comes to the rescue. Google search is built to provide accurate and nearly realtime information and can help us fulfill this task nicely.\n",
"\n",
"Note that the latest [search tool](https://ai.google.dev/gemini-api/docs/models/gemini-v2#search-tool) that comes with Gemini 2.0 is much easier to use and should be prioritized over search grounding in Gemini 1.5 models."
"Note that the latest [search tool](https://ai.google.dev/gemini-api/docs/models/gemini-v2#search-tool) that comes with Gemini 2.0 is much easier to use and should be prioritized over search grounding in Gemini 1.5 models. You can learn more about search tool in the [Search tool quickstart](../main/gemini-2/search_tool.ipynb) notebook and the [search tool for research report](../gemini-2/search_tool_for_research_report.ipynb) notebook which creates the same functionality as in this tutorial but uses search tool in Gemini 2.0."
]
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{
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"\n",
"* To learn more about search grounding, check out the [Grounding with Google Search](https://ai.google.dev/gemini-api/docs/grounding?lang=python) documentation.\n",
"* To get started with search grounding, check out the [Search grounding quickstart](../quickstarts/Search_Grounding.ipynb).\n",
"* To get started with the search tool in Gemini 2.0, check out the [Search tool quick start](https://github.com/google-gemini/cookbook/blob/main/gemini-2/search_tool.ipynb).\n",
"* To get started with the search tool in Gemini 2.0, check out the [Search tool quick start](../gemini-2/search_tool.ipynb).\n",
"* Also check the [search tool for research report](../gemini-2/search_tool_for_research_report.ipynb) notebook for a more recent example using Gemini 2.0."
]
}
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