illuminat **CLI-first semantic 코드는 MCP 통합으로 검색 **

⚠️제품 출시 (v2.5.56): 안정적이고 적극적인 유지 LanceDB는 이제 더 나은 성능과 안정성을 위한 기본 백엔드입니다.

semantic 분석 및 AST 패싱을 통해 코베이스를 이해하는 현대적이고 빠르고 지능적인 코드 검색 도구. Python과 함께 LanceDB에 의해 구동되며 개발자 생산성을 위해 설계되었습니다.

✨ 특징

##♨️ 핵심 능력

• Semantic Search: 의미로 코드 찾기, 키워드가 아닌
• AST-Aware Parsing: 코드 구조에 대한 이해 (기능, 클래스, 방법)
• 멀티 언어 지원: 13 언어 - Python, JavaScript, TypeScript, C#, Dart/Flutter, PHP, Ruby, Java, Go, Rust, HTML 및 Markdown/Text (내선 구조)
• **Knowledge Graph **: 엔티티티 추출 및 관계 매핑을위한 KuzuDB가있는 임시 지식 그래프 ([T0]], kg status, kg query) -Interactive Visualization: 5+ 조회(Treemap, Sunburst, Force Graph, Knowledge Graph, Heatmap)의 D3.js 전원 시각화 -Development Narratives: story] 명령어(markdown, JSON, HTML output)로 git history narratives 생성

MCP Vector Search

🔍 CLI-first semantic code search with MCP integration

⚠️ Production Release (v2.5.56): Stable and actively maintained. LanceDB is now the default backend for better performance and stability.

A modern, fast, and intelligent code search tool that understands your codebase through semantic analysis and AST parsing. Built with Python, powered by LanceDB, and designed for developer productivity.

✨ Features

🚀 Core Capabilities

• Semantic Search: Find code by meaning, not just keywords
• AST-Aware Parsing: Understands code structure (functions, classes, methods)
• Multi-Language Support: 13 languages - Python, JavaScript, TypeScript, C#, Dart/Flutter, PHP, Ruby, Java, Go, Rust, HTML, and Markdown/Text (with extensible architecture)
• Knowledge Graph: Temporal knowledge graph with KuzuDB for entity extraction and relationship mapping (kg build, kg status, kg query)
• Interactive Visualization: D3.js-powered visualization with 5+ views (Treemap, Sunburst, Force Graph, Knowledge Graph, Heatmap)
• Development Narratives: Generate git history narratives with story command (markdown, JSON, HTML output)
• Real-time Indexing: File watching with automatic index updates
• Automatic Version Tracking: Smart reindexing on tool upgrades
• Local-First: Complete privacy with on-device processing
• Zero Configuration: Auto-detects project structure and languages

🛠️ Developer Experience

• CLI-First Design: Simple commands for immediate productivity
• Rich Output: Syntax highlighting, similarity scores, context
• Fast Performance: Sub-second search responses, efficient indexing with pipeline parallelism (37% faster); IVF-PQ vector index delivers 4.9x faster queries (3.4ms vs 16.7ms)
• Modern Architecture: Async-first, type-safe, modular design
• Semi-Automatic Reindexing: Multiple strategies without daemon processes
• 17 MCP Tools: Comprehensive MCP integration for AI assistants (search, analysis, documentation, KG, story generation)
• Chat Mode: LLM-powered code Q&A with iterative refinement (up to 30 queries), deep search, and KG query tools
• CodeT5+ Embeddings: Code-specific embeddings via index-code command (Salesforce/codet5p-110m-embedding)

🔧 Technical Features

• Vector Database: LanceDB (serverless, file-based)
• Embedding Models: Configurable sentence transformers with GPU acceleration
• Smart Reindexing: Search-triggered, Git hooks, scheduled tasks, and manual options
• Extensible Parsers: Plugin architecture for new languages
• Configuration Management: Project-specific settings