Builds self-contained, searchable documentation servers with hybrid vector and keyword search capabilities.
Sponsored
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.
Key Features
01Supports multiple documentation formats, including MDX and Markdown
02Config-driven operations with YAML configuration
