{"data":{"full_name":"anantha119/Vector-Based-Image-Retrieval-System","name":"Vector-Based-Image-Retrieval-System","description":"This project leverages Vision Transformers (ViT) to build a scalable image retrieval system. Images are encoded into compact vectors and stored in MongoDB for efficient querying. Advanced indexing techniques like Product Quantization (PQ) and HNSW graph optimize retrieval for speed and memory. A Streamlit-based web app allows users to upload images","stars":0.0,"forks":1.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"multimodal-image-search","last_pushed_at":"2025-01-09T15:40:10+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":0.0,"maturity_score":9.0,"community_score":2.0,"quality_score":11.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-12T07:26:47.171022+00:00"}}