{"data":{"full_name":"chitralputhran/Advanced-RAG-LangGraph","name":"Advanced-RAG-LangGraph","description":"Advanced-RAG-LangGraph is a Streamlit-based web application that implements an advanced Retrieval-Augmented Generation (RAG) pipeline using LangGraph, ChromaDB, and Tavily to enable interactive document-based Q&A with enhanced retrieval and error-handling capabilities.","stars":28.0,"forks":5.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"graph-database-rag","last_pushed_at":"2025-07-16T23:23:35+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":7.0,"maturity_score":16.0,"community_score":14.0,"quality_score":39.0,"quality_tier":"emerging","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-10T06:26:13.177156+00:00"}}