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Update LLaMA2_sql_chat.ipynb (#15379)
Updated prompt input suggestions <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
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@ -125,7 +125,7 @@
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"id": "654b3577-baa2-4e12-a393-f40e5db49ac7",
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"metadata": {},
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"source": [
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"## Query a SQL DB \n",
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"## Query a SQL Database \n",
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"\n",
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"Follow the runnables workflow [here](https://python.langchain.com/docs/expression_language/cookbook/sql_db)."
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]
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@ -151,6 +151,7 @@
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"# Prompt\n",
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"from langchain.prompts import ChatPromptTemplate\n",
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"\n",
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"# Update the template based on the type of SQL Database like MySQL, Microsoft SQL Server and so on\n",
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"template = \"\"\"Based on the table schema below, write a SQL query that would answer the user's question:\n",
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"{schema}\n",
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"\n",
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