{"data":{"full_name":"bazilicum/pdf-query","name":"pdf-query","description":"This project processes and retrieves information from PDF file or PDF collection. It leverages Qdrant as a vector database for similarity searches and employs a Retrieval-Augmented Generation (RAG).","stars":0.0,"forks":0.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"pdf-document-processing","last_pushed_at":"2025-04-11T22:51:14+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":0.0,"maturity_score":9.0,"community_score":0.0,"quality_score":11.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-08T06:52:07.890258+00:00"}}