{"data":{"full_name":"th3akash/PDF-RAG-AI","name":"PDF-RAG-AI","description":"A local Retrieval-Augmented Generation (RAG) application built with FastAPI, Ollama, and ChromaDB that lets users upload PDF or CSV files and chat with their contents. It supports real-time document ingestion, contextual Q&A, and an interactive web interface for exploring insights from any uploaded files.","stars":0.0,"forks":0.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"local-pdf-rag-systems","last_pushed_at":"2025-11-06T12:30:15+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":9.0,"community_score":0.0,"quality_score":15.0,"quality_tier":"experimental","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-06T18:47:56.845458+00:00"}}