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Ragdocs

Augments AI responses with relevant documentation context through vector search.

About

Ragdocs is a tool that enhances AI assistants by providing them with the ability to retrieve and process documentation. It leverages vector search to find relevant chunks of documentation, enabling more informed and context-aware responses. It can also be used to build documentation-aware AI assistants, create context-aware tooling for developers, implement semantic documentation search, and augment existing knowledge bases. The included web interface provides real-time queue monitoring, documentation source management, a search interface for testing queries, and system status and health checks.

Key Features

  • Searches documentation using vector search and returns relevant chunks with source information.
  • Lists all available documentation sources and their metadata.
  • Extracts URLs from text and checks for duplicates in the documentation.
  • Removes documentation from a specific source.
  • Provides a web interface for real-time queue monitoring and documentation source management.
  • 15 GitHub stars

Use Cases

  • Enhancing AI responses with relevant documentation.
  • Building documentation-aware AI assistants.
  • Implementing semantic documentation search.