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jamie8johnsonbyjamie8johnson
•
13
•
Herramientas para Desarrolladores
Ciencia de Datos y ML
Productividad y Flujo de Trabajo

Perform semantic code search to find functions by their behavior rather than their names, leveraging local machine learning and GPU acceleration.

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Revolutionize your code search by finding functions based on their behavior and intent, not just their names. This tool provides semantic code search that understands what code *does*, allowing you to locate relevant functions even when exact identifiers are unknown. It significantly enhances productivity for developers, especially when navigating unfamiliar codebases, ensuring you discover crucial logic that traditional text searches might miss. Seamlessly integrate with AI assistants like Claude Code for an enriched development workflow.

Características Principales

01Semantic code search with local ML embeddings (nomic-embed-text-v1.5)
02GPU-accelerated for high-speed indexing and querying (CUDA support)
03Hybrid search (RRF) merging semantic similarity with keyword matching
04Automatic index updates with 'watch' mode that respects .gitignore
05Extensive filtering options by language, path patterns, and name boost
061 GitHub stars

Casos de Uso

01Discover functions by their intended behavior (e.g., 'retry with exponential backoff') rather than exact names
02Enhance AI assistant capabilities by providing semantic search results for code generation and analysis
03Navigate and understand large or unfamiliar codebases efficiently