Metadata-Version: 2.1
Name: ragsearch
Version: 0.1.0
Summary: Recommendation Engine leveraging an Agentic Retrieval-Augmented Generation (RAG) architecture to provide context-aware recommendations based on user queries
Home-page: https://github.com/mrutunjay-kinagi/ragsearch
License: MIT
Author: Mrutunjay Kinagi
Author-email:  mrutunjay.kinagi @ gmail.com 
Requires-Python: >=3.9,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Project-URL: Repository, https://github.com/mrutunjay-kinagi/ragsearch
Description-Content-Type: text/markdown

# ragsearch
This project aims to build a Recommendation Engine leveraging an Agentic Retrieval-Augmented Generation (RAG) architecture to provide context-aware recommendations based on user queries. The MVP focuses on modularity and scalability while utilizing open-source technologies for cost efficiency.

