{"data":{"full_name":"Jogesh6895/chromadb-rag-system-python","name":"chromadb-rag-system-python","description":"⚡ Complete RAG pipeline implementation with ChromaDB vector database. Features: Persistent storage, Redis caching layer, SentenceTransformer embeddings, recursive document chunking, and interactive CLI. Production-grade Python code with type hints and structured logging.","stars":0.0,"forks":0.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"rag-pipeline-optimization","last_pushed_at":"2026-02-10T09:23:23+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":10.0,"adoption_score":0.0,"maturity_score":11.0,"community_score":0.0,"quality_score":21.0,"quality_tier":"experimental","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-15T07:19:22.162539+00:00"}}