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text_2_sql/semantic_kernel/README.md

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@@ -5,8 +5,7 @@ The implementation is written for [Semantic Kernel](https://github.com/microsoft
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## Provided Notebooks & Scripts
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- `./rag_with_prompt_based_text_2_sql.ipynb` provides example of how to utilise the Prompt Based Text2SQL plugin to query the database.
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- `./rag_with_vector_based_text_2_sql.ipynb` provides example of how to utilise the Vector Based Text2SQL plugin to query the database.
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- `./rag_with_vector_based_text_2_sql_query_cache.ipynb` provides example of how to utilise the Vector Based Text2SQL plugin, alongside the query cache, to query the database.
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- `./rag_with_vector_based_text_2_sql.ipynb` provides example of how to utilise the Vector Based Text2SQL plugin to query the database. The query cache plugin will be enabled or disabled depending on the environmental parameters.
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- `./rag_with_ai_search_and_text_2_sql.ipynb` provides an example of how to use the Text2SQL and an AISearch plugin in parallel to automatically retrieve data from the most relevant source to answer the query.
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- This setup is useful for a production application as the SQL Database is unlikely to be able to answer all the questions a user may ask.
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- `./time_comparison_script.py` provides a utility script for performing time based comparisons between the different approaches.

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