{"data":{"full_name":"tanmay271/RAG-Qdrant-AI","name":"RAG-Qdrant-AI","description":"High-performance RAG pipeline engineered to eliminate LLM hallucinations during complex document analysis. Leverages token-aware chunking via tiktoken, custom PyPDF2 data extraction, OpenAI embeddings, and Qdrant vector databases to transform unstructured data into highly accurate, grounded, and context-rich AI insights.","stars":0.0,"forks":0.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"document-chunking-embedding-pipelines","last_pushed_at":"2026-02-27T07:03:38+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":10.0,"adoption_score":0.0,"maturity_score":9.0,"community_score":0.0,"quality_score":19.0,"quality_tier":"experimental","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-08T10:02:13.455817+00:00"}}