{"library":"embedding-reader","type":"library","category":null,"description":"embedding-reader is a Python library designed for efficiently reading embeddings from various file formats, including HDF5, Parquet, JSON, TSV, and NumPy with memory mapping (mmap). It also provides functionality to download embeddings from Hugging Face datasets. The library focuses on performance and ease of use for large-scale embedding datasets. The current version is 1.8.1, and it maintains a regular release cadence, often with monthly or bi-monthly updates.","language":"python","status":"active","version":"1.8.1","tags":["embeddings","data-loading","vector-databases","ai","machine-learning","hdf5","parquet","numpy"],"last_verified":"Tue May 26","install":[{"cmd":"pip install embedding-reader","imports":["from embedding_reader import EmbeddingReader"]}],"homepage":null,"github":"https://github.com/rom1504/embedding-reader","docs":null,"changelog":null,"pypi":"https://pypi.org/project/embedding-reader/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":10.3,"avg_import_s":1.54,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/embedding-reader/compatibility"}}