Ragdoc

关于

Ragdoc provides an MCP server implementation designed to enhance AI assistants by augmenting their responses with context from relevant documentation. Utilizing vector-based search, it retrieves and processes information from multiple documentation sources. Key tools include documentation search, source listing, URL extraction, and queue management for processing and indexing documentation, making it ideal for building documentation-aware AI assistants and implementing semantic documentation search.

主要功能

• Vector-based documentation search and retrieval
• Semantic search capabilities
• Automated documentation processing
• 0 GitHub stars
• Supports multiple documentation sources
• Real-time context augmentation for LLMs

使用案例

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