Metadata-Version: 2.1
Name: document_ingestor
Version: 0.0.4
Summary: This package consumes one or more spanish constitution pdf and then processes it to generate the embedding vectors. The vectors are generated with OpenAI service and PineCone is used to store and retrieve embedding vectors.
Author-email: Milan Anand Raj <manandraj20@iitk.ac.in>
Project-URL: Homepage, https://github.com/pypa/sampleproject
Project-URL: Issues, https://github.com/pypa/sampleproject/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE.txt

# Document ingestor
This package consumes one or more spanish constitution pdf and then processes it to generate the embedding vectors. The vectors are generated with OpenAI service and PineCone is used to store and retrieve embedding vectors.

# Requirements
pymupdf==1.23.8
