{"data":{"full_name":"PedroHenriqueDevBR/vectoriz","name":"vectoriz","description":"This project provides utilities to create, manage, and optimize vector embeddings for use in RAG systems. It streamlines the process of converting documents and data sources into vector representations suitable for semantic search and retrieval.","stars":2.0,"forks":0.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"vector-database-management","last_pushed_at":"2025-04-24T23:50:50+00:00","pypi_package":"vectoriz","npm_package":null,"downloads_monthly":0.0,"dependency_count":4.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":2.0,"adoption_score":2.0,"maturity_score":18.0,"community_score":0.0,"quality_score":22.0,"quality_tier":"experimental","risk_flags":"['stale_6m']"},"meta":{"timestamp":"2026-04-11T13:54:17.361292+00:00"}}