Sign up to save tools and stay up to date with the latest in AI
bg
bg
1

GitHub - bkarst/raggable

Dec 23, 2024 - github.com
The article introduces a repository called "Raggable," aimed at providing LLM-readable documentation for libraries that might not have accessible documentation otherwise. The repository is intended for developers who want to leverage the latest libraries and tools, particularly in the context of AI editors. Users can integrate the documentation into their projects by copying the documentation folder and prompting AI to read it, although more advanced methods are hinted at but not discussed.

The article also outlines how to contribute to the repository: by adding a folder for a new library, creating markdown files for each documentation section, and using Developer Tools to copy HTML documentation. Contributors are encouraged to use a specific prompt in Google AI Studio to generate summaries and examples, with the Gemini 2.0 Preview model recommended for good results. The article concludes by inviting users to submit pull requests if they find outdated or incorrect markdown.

Key takeaways:

  • The repository aims to provide LLM-readable documentation for libraries that lack accessible documentation.
  • Users can integrate the documentation into their projects by copying the documentation folder and using AI editors to interpret it.
  • Contributors should create a folder for each library, convert HTML documentation to markdown, and use AI tools to generate summaries.
  • Updates and corrections to the markdown can be submitted through pull requests.
View Full Article

Comments (0)

Be the first to comment!