{"data":{"full_name":"Vinit-joshi2/Chat-Notes","name":"Chat-Notes","description":"Developed a Flask-based RAG system that processes uploaded PDFs, extracts and embeds text using HuggingFace models, and stores vectors in Pinecone for semantic search. Integrated Google Gemini with custom retrieval chains to deliver accurate, context-aware answers and enable real-time conversational querying over user-provided documents.","stars":0.0,"forks":0.0,"language":"Jupyter Notebook","license":"Apache-2.0","archived":0.0,"subcategory":"gemini-pdf-rag","last_pushed_at":"2025-12-02T19:27:58+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":6.0,"adoption_score":0.0,"maturity_score":11.0,"community_score":0.0,"quality_score":17.0,"quality_tier":"experimental","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-14T22:00:58.949178+00:00"}}