RAGOne

RAGOne evaluates retrieved context for RAG pipelines using a fine-tuned ModernBERT encoder and a trained scoring head.

Install

pip install ragone-ai

Quick start

from ragone import RAGOne

model = RAGOne.from_pretrained("Hariharan05/ragone")

result = model.predict(
    query="What is the refund period?",
    context="Customers can request a refund within 30 days.",
    task="answerability",
    options=["yes", "no"],
)

print(result)

The model files are downloaded from Hugging Face on first use. The PyPI package contains inference code, not the model weights.

Supported tasks include relevance, answerability, evidence quality, and contradiction. Use the candidate labels appropriate for your training dataset.

Metadata

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