{"data":{"full_name":"nv2105/QuickRAG-FAQ-Bot","name":"QuickRAG-FAQ-Bot","description":"An intelligent Retrieval-Augmented Generation (RAG) chatbot that answers FAQs using domain-specific datasets. Built with Python, Qdrant Cloud, and Groq LLM, it demonstrates end-to-end RAG pipelines from embeddings to vector search to response generation.","stars":1.0,"forks":0.0,"language":"Jupyter Notebook","license":"MIT","archived":0.0,"subcategory":"document-qa-chatbots","last_pushed_at":"2025-09-16T08:29:08+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":1.0,"maturity_score":9.0,"community_score":0.0,"quality_score":12.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-07T10:06:29.891988+00:00"}}