Metadata-Version: 2.1
Name: magna-search
Version: 1.0.1
Summary: AI-powered embedding similarity search for documents
Home-page: https://github.com/yousef-rafat/Magna
Author: Yousef Gamaleldin
Author-email: yrafat38@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: PyMuPDF
Requires-Dist: requests
Requires-Dist: faiss-cpu
Requires-Dist: sentence_transformers
Requires-Dist: python-docx

# Magna

Magna uses Embedding-Similarity-Search, commonly used in LLMs, to search for text with a meaning similar to the user's query. 
Magna can return multiple documents with similar meanings to the query along with many other options for customizing the the response.

![MAGNA](https://github.com/user-attachments/assets/159918d1-b31e-4e69-9378-41af013dd705)
