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README.md

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@@ -4,6 +4,10 @@ This repo provides sample code for improving RAG applications with rich data sou
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It is intended that the plugins and skills provided in this repository, are adapted and added to your new or existing RAG application to improve the response quality.
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> [!IMPORTANT]
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> - This repository now uses `uv` to manage dependencies and common utilities. See [uv](https://docs.astral.sh/uv/) for more details on how to get started.
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## Components
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- `./text_2_sql` contains an three Multi-Shot implementations for Text2SQL generation and querying which can be used to answer questions backed by a database as a knowledge base. A **prompt based** and **vector based** approach are shown, both of which exhibit great performance in answering sql queries. Additionally, a further iteration on the vector based approach is shown which uses a **query cache** to further speed up generation. With these plugins, your RAG application can now access and pull data from any SQL table exposed to it to answer questions.

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