Inkdex

About

Inkdex transforms your static markdown documentation into an intelligent, searchable knowledge base for AI. Operating as an MCP server, it indexes your markdown files by splitting them into context-rich chunks, embedding them locally using AI, and storing them for hybrid text and vector retrieval. This allows AI clients to perform sophisticated semantic searches and retrieve highly relevant documentation snippets, significantly enhancing their ability to understand and utilize your project's knowledge.

Key Features

• 0 GitHub stars
• Enables AI-powered semantic search of markdown documentation
• Utilizes local AI embeddings for data processing
• Provides hybrid search combining text and vector embeddings
• Supports incremental indexing for efficient updates
• Context-aware document chunking with overlap

Use Cases

• Enabling AI chatbots to answer user questions accurately based on up-to-date documentation
• Providing AI agents with access to internal knowledge bases for enhanced understanding
• Integrating documentation into Retrieval Augmented Generation (RAG) workflows for AI models