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text_2_sql/autogen/README.md

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@@ -10,7 +10,7 @@ The following diagram shows the logical flow within mutlti agent system. In an i
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Unlike the previous approaches, **gpt4o-mini** can be used as each agent's prompt is small and focuses on a single simple task.
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As the query cache is shared between users (no data is stored in the cache), a new user can benefit from the pre-mapped question and schema resolution in the index.
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As the query cache is shared between users (no data is stored in the cache), a new user can benefit from the pre-mapped question and schema resolution in the index. There are multiple possible strategies for updating the query cache, see the possible options in the Text2SQL README.
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**Database results were deliberately not stored within the cache. Storing them would have removed one of the key benefits of the Text2SQL plugin, the ability to get near-real time information inside a RAG application. Instead, the query is stored so that the most-recent results can be obtained quickly. Additionally, this retains the ability to apply Row or Column Level Security.**
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text_2_sql/semantic_kernel/README.md

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The following diagram shows the logical flow within the Vector Based plugin. In an ideal scenario, the questions will follow the _Pre-Fetched Cache Results Path** which leads to the quickest answer generation. In cases where the question is not known, the plugin will fall back the other paths accordingly and generate the SQL query using the LLMs.
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As the query cache is shared between users (no data is stored in the cache), a new user can benefit from the pre-mapped question and schema resolution in the index.
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As the query cache is shared between users (no data is stored in the cache), a new user can benefit from the pre-mapped question and schema resolution in the index. There are multiple possible strategies for updating the query cache, see the possible options in the Text2SQL README.
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**Database results were deliberately not stored within the cache. Storing them would have removed one of the key benefits of the Text2SQL plugin, the ability to get near-real time information inside a RAG application. Instead, the query is stored so that the most-recent results can be obtained quickly. Additionally, this retains the ability to apply Row or Column Level Security.**
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