{"data":{"full_name":"Azazel0203/Medical_ChatBot","name":"Medical_ChatBot","description":"The Medical Chatbot, built with Flask, integrates NLP libraries like Langchain and Hugging Face Transformers for text processing and embedding generation. Utilizing Pinecone as a vector database, it efficiently stores and retrieves data, offering users an interactive platform for medical inquiries.","stars":6.0,"forks":0.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"medical-rag-chatbots","last_pushed_at":"2024-04-06T18:52:26+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":0.0,"adoption_score":4.0,"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":"2026-04-06T18:00:10.131625+00:00"}}