microsoft/dstoolkit-text2sql-and-imageprocessing
This repo accelerates development of RAG applications with rich data sources including SQL Warehouses and documents analysed with Azure Document Intelligence
This project helps developers enhance RAG applications by allowing them to answer complex questions using data from SQL databases and rich documents. It takes natural language questions and various document types (including those with charts) as input, providing more accurate and detailed answers by retrieving information from both structured and unstructured sources. It's intended for developers building and improving AI-powered search and question-answering systems.
Use this if you are a developer looking to build or enhance a RAG application that needs to answer complex questions by accessing information from SQL databases and analyzing intricate documents like reports or scanned forms.
Not ideal if you are an end-user without development experience, as this project provides code components to be integrated into existing applications rather than a ready-to-use tool.
Stars
95
Forks
20
Language
Python
License
MIT
Category
Last pushed
Feb 11, 2026
Commits (30d)
0
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