Docs2Prompt
Aggregates documentation from GitHub repositories or URLs into a single file, optimized for use with Large Language Models (LLMs).
About
Docs2Prompt streamlines the process of preparing documentation for use with Large Language Models (LLMs). It can automatically retrieve documentation files from GitHub repositories (using heuristics to identify relevant files) or crawl content from a provided URL. The tool then consolidates the documentation into a single, LLM-friendly file, which can be formatted as plain text, XML, or Markdown. This simplifies the ingestion of documentation into LLMs for tasks like question answering, summarization, or code generation.
Key Features
- Provides both a command-line interface (CLI) and a Python API.
- Extracts documentation from GitHub repositories using heuristics.
- 21 GitHub stars
- Supports multiple output formats: plain text, XML, and Markdown.
- Crawls documentation content from URLs.
- Fetches external documentation links found in the root README.
Use Cases
- Feeding documentation to LLMs for training or fine-tuning.
- Creating a knowledge base for LLM-powered chatbots.
- Generating documentation summaries using LLMs.