{"data":{"full_name":"jonathanfavorite/RAGamuffin","name":"RAGamuffin","description":"A lightweight, cross-platform .NET library for building RAG (Retrieval-Augmented Generation) pipelines with local embedding models and SQLite vector storage. Perfect for developers who need privacy-focused, offline-capable document search and AI-powered question answering without external API dependencies.","stars":2.0,"forks":0.0,"language":"C#","license":"Apache-2.0","archived":0.0,"subcategory":"local-rag-stacks","last_pushed_at":"2025-07-08T01:25:12+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":2.0,"adoption_score":2.0,"maturity_score":9.0,"community_score":0.0,"quality_score":13.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-12T10:10:02.849279+00:00"}}