{"data":{"full_name":"vectordbpipe/vectorDBpipe","name":"vectorDBpipe","description":"A modular text embedding and vector database pipeline for local and cloud vector stores. Designed to streamline text preprocessing, embedding generation, and semantic search with multiple backends such as FAISS, Chroma, and Pinecone.","stars":1.0,"forks":0.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"vector-db-from-scratch","last_pushed_at":"2026-03-03T15:03:28+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":1.0,"maturity_score":15.0,"community_score":0.0,"quality_score":26.0,"quality_tier":"experimental","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-16T00:13:39.991011+00:00"}}