
devdocs-to-llm
Turn any developer documentation into a GPT
Stars: 53

The devdocs-to-llm repository is a work-in-progress tool that aims to convert documentation from DevDocs format to Long Language Model (LLM) format. This tool is designed to streamline the process of converting documentation for use with LLMs, making it easier for developers to leverage large language models for various tasks. By automating the conversion process, developers can quickly adapt DevDocs content for training and fine-tuning LLMs, enabling them to create more accurate and contextually relevant language models.
README:
Turn any developer documentation into a specialized GPT.
DevDocs to LLM is a tool that allows you to crawl developer documentation, extract content, and process it into a format suitable for use with large language models (LLMs) like ChatGPT. This enables you to create specialized assistants tailored to specific documentation sets.
- Web crawling with customizable options
- Content extraction in Markdown format
- Rate limiting to respect server constraints
- Retry mechanism for failed scrapes
- Export options:
- Rentry.co for quick sharing
- Google Docs for larger documents
- Set up the Firecrawl environment
- Crawl a website and generate a sitemap
- Extract content from crawled pages
- Export the processed content
- Firecrawl API key
- Google Docs API credentials (optional, for Google Docs export)
This project is designed to run in a Jupyter notebook environment, particularly Google Colab. No local installation is required.
Before running the notebook, you'll need to set a few parameters:
-
sub_url
: The URL of the documentation you want to crawl -
limit
: Maximum number of pages to crawl -
scrape_option
: Choose to scrape all pages or a specific number -
num_pages
: Number of pages to scrape if not scraping all -
pages_per_minute
: Rate limiting parameter -
wait_time_between_chunks
: Delay between scraping chunks -
retry_attempts
: Number of retries for failed scrapes
Contributions are welcome! Please feel free to submit a Pull Request.
Copyright (c) 2024-present, Alex Fazio
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