What is GitHub?
🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and RAG methods.
Problem
Users previously had to manually integrate multiple tools and datasets for retrieval, re-ranking, and RAG, which is time-consuming integration of multiple tools and complex implementation of state-of-the-art models.
Solution
A Python toolkit that enables users to integrate 40 pre-retrieved datasets, 7+ retrieval techniques, 24+ re-ranking models, and RAG methods in one platform, streamlining AI development workflows.
Customers
Data scientists, machine learning engineers, and NLP researchers working on information retrieval, recommendation systems, or AI-driven text analysis.
Unique Features
Comprehensive integration of datasets, retrieval methods, re-ranking models, and RAG workflows in a single toolkit, with pre-configured benchmarks.
Traction
Newly launched on ProductHunt, integrates 40 datasets and 24+ state-of-the-art models; traction metrics (users, revenue) not yet disclosed.
Market Size
The global NLP market is projected to reach $49.4 billion by 2028 (Fortune Business Insights), with retrieval/RAG tools addressing a critical segment.
