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3D tool to design roads and environments for autonomous vehicle testing
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Смотреть руководство →dstoolkit-text2sql-and-imageprocessing — проект с открытым исходным кодом из категории «RAG и базы знаний» от microsoft (microsoft/dstoolkit-text2sql-and-imageprocessing на GitHub). У него 105 звёзд на GitHub и 22 форка, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 1 октября 2026.
Open rag & knowledge for this repo accelerates development of rag applications w.
Fetch the source code onto your machine.
Set up the Python environment the project needs.
Copy the sample config or env file and adjust it.
Start the app from the source directory.
Built around ai for a focused workflow.
Built around azure for a focused workflow.
Built around entity relationship for a focused workflow.
Built around llm for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/microsoft/dstoolkit-text2sql-and-imageprocessing.gitSet up Python dependencies.
cd dstoolkit-text2sql-and-imageprocessing && pip install -r requirements.txtLaunch the application.
cd dstoolkit-text2sql-and-imageprocessing && python main.pyIt this repo accelerates development of RAG applications with rich data sources including SQL Warehouses and documents analysed with Azure Document Intelligence, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Python, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
3D tool to design roads and environments for autonomous vehicle testing
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