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@@ -5,7 +5,7 @@
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"id": "e8cba0b6",
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"metadata": {},
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"source": [
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- "<a href=\"https://colab.research.google.com/github/meta-llama/llama-recipes/blob/main/recipes/use_cases/text2sql/StructuredLlama.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
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+ "<a href=\"https://colab.research.google.com/github/meta-llama/llama-recipes/blob/main/recipes/use_cases/text2sql/StructuredLlama.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a> \n",
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"\n",
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"## Use Llama 3 to chat about structured data\n",
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"This demo shows how to use LangChain with Llama 3 to query structured data, the 2023-24 NBA roster info, stored in a SQLite DB, and how to ask Llama 3 follow up question about the DB."
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@@ -90,6 +90,7 @@
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"source": [
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"from langchain_community.utilities import SQLDatabase\n",
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"\n",
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+ "# Note: to run in Colab, you need to upload the nba_roster.db file in the repo to the Colab folder first.\n",
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"db = SQLDatabase.from_uri(\"sqlite:///nba_roster.db\", sample_rows_in_table_info=0)\n",
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"\n",
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"def get_schema():\n",
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