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1.0.2 emb_opt-1.0.2-py3-none-any.whl

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Project: emb-opt
Version: 1.0.2
Filename: emb_opt-1.0.2-py3-none-any.whl
Download: [link]
Size: 32343
MD5: e59a357a5874d45fa8326b2be97bc79c
SHA256: 568d09d43b8d6119cddea8cfb583a6286276bd025315de3161cd7f235be3d703
Uploaded: 2024-04-15 21:11:29 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: emb-opt
Version: 1.0.2
Summary: A lightweight framework to efficiently screen vector databases
Author: Karl Heyer
Author-Email: karl[at]darkmatterai.co
Home-Page: https://github.com/DarkMatterAI/emb_opt
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.9
Requires-Dist: numpy
Requires-Dist: pydantic (>=2.0)
Requires-Dist: scipy
Requires-Dist: httpx
Requires-Dist: faiss-cpu; extra == "dev"
Requires-Dist: qdrant-client; extra == "dev"
Requires-Dist: matplotlib; extra == "dev"
Requires-Dist: datasets; extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 616 characters]

WHEEL

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Tag: py3-none-any

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emb_opt-1.0.2.dist-info/RECORD — —

top_level.txt

emb_opt

entry_points.txt

[nbdev]
emb_opt = emb_opt._modidx:d