关于
KB provides a specialized embeddings-based search system designed to efficiently navigate markdown documentation across various code repositories. It enables users, particularly those working with AI coding assistants like Claude or Cursor, to find relevant information based on meaning rather than just keywords. By intelligently chunking markdown and generating semantic embeddings, KB transforms raw documentation into a powerful, searchable knowledge base, making it easier to access critical project details and accelerate development workflows.
主要功能
- ONNX Model Conversion for Faster Inference
- MCP Server Integration for AI Assistants
- Repository-Aware Documentation Organization
- Markdown-Focused Intelligent Chunking
- Semantic Search of Documentation
- 0 GitHub stars
使用案例
- Retrieving information on authentication methods from indexed repositories.
- Finding specific API documentation or patterns within codebases.
- Searching for configuration options across multiple projects.
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