关于
This framework empowers users to construct independent, distributable documentation servers from various technical documentation sources like Markdown and MDX. It integrates advanced hybrid search capabilities, combining semantic vector search (HNSW) with keyword matching (BM25) via Reciprocal Rank Fusion, to deliver highly relevant results. Designed for scalability, it supports multiple documentation sources, offers config-driven operations, and includes automated tooling for seamless deployment to compatible hosts like VS Code or Claude Desktop.
主要功能
- Supports multiple documentation formats, including MDX and Markdown
- Config-driven operations with YAML configuration
- 1 GitHub stars
- Builds self-contained, distributable documentation servers
- Hybrid semantic and keyword search via Reciprocal Rank Fusion
- Automated tooling for syncing, scaffolding, and building new servers
使用案例
- Creating searchable documentation servers for technical manuals and guides
- Integrating powerful documentation search into AI agents or IDEs like VS Code
- Managing and providing search capabilities across multiple independent documentation sources
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