Documentation
Manages and semantically searches documents using AI embeddings, bridging knowledge gaps for various content types.
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The Documentation server acts as an AI-powered knowledge base built on the Model Context Protocol (MCP). It allows users to upload, manage, and retrieve information from documents through advanced semantic search capabilities. Designed for easy integration with MCP clients, it's ideal for making complex information readily accessible, whether it's new framework documentation, API guides, or internal company resources, all without complex setup.
Características Principales
- Automated smart chunking for text processing
- AI-powered semantic search with embeddings
- Supports file uploads (.txt, .md) and direct content addition
- Zero-setup local storage with no database required
- Multilingual support with quality embeddings
- 0 GitHub stars
Casos de Uso
- Managing and searching API documentation
- Organizing internal company guides and resources
- Creating knowledge bases for new frameworks
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