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This extension provides tools for authors of the RelationalAI documentation.
The extension assumes you have a virtual environment in your project directory (the folder you have open in VS Code) and that it's called .venv. It also assumes you have Jupyter and pandas installed in that environment.
Run Python Code. Put your cursor in a fenced code block and invoke the command "RelationalAI Docs: Run Python Code". The code block will be executed in a Python environment and the output will be displayed as a DataTable below the code block.
You can also select an interval of text in your editor and invoke the Run Python Code command. The selected text will be executed as a Python code block, with no output handling.
Open Jupyter in Browser. Your code exection is running against a Jupyter kernel. You can launch a Jupyter notebook that connects to this kernel by invoking the command "RelationalAI Docs: Open Jupyter in Browser". There are also commands to restart and to stop this kernel.
Insert Image. Invoke the command "RelationalAI Docs: Insert Image" to insert an image in your markdown file. The image will be copied to the public/img folder in your project directory and the path to the image will be inserted in the markdown file.
Insert Reference. Invoke the command "RelationalAI Docs: Insert Reference" to docs reference in your Markdown file. You will get a searchable list of every heading and document in the project.
FAQs
Tools for authoring in the RAI documentation system
We found that raidocs demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

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