NUCLIA | RAG quality metrics to ensure trustworthy results.

Nuclia, the only RAG platform
delivering native quality metrics

Power your AI strategy with confidence. Nuclia is the only RAG integrating REMi, to provide measurable quality metrics and ensure accurate, reliable, and trustworthy results.

What is REMi?

REMi is a specialized RAG evaluation model developed by Nuclia to assess the quality and performance of Retrieval Augmented Generation (RAG) pipelines. It is designed to evaluate how effectively a RAG system retrieves relevant information and generates accurate responses based on that information. Unlike traditional LLM (Large Language Model) evaluations, REMi is fine-tuned specifically for RAG scenarios, providing focused metrics such as Answer Relevance, Context Relevance, and Groundedness. REMi enables users to measure:

Quality metrics for RAG

Evaluate your RAG pipeline’s performance with Nuclia’s REMi metrics, covering all queries submitted to your Knowledge Box.
Our system provides:

Context relevance

Assesses how relevant the retrieved context is to the original query

Answer relevance

Measures how relevant the AI-generated answer is to the user’s query.

Health status

View the average, minimum, and maximum values of each metric over the last 24 hours to track pipeline health.

Groundedness

Indicates how well the AI’s response is based on the context provided.

Detect knowledge gaps

Stay informed about potential knowledge gaps in your Knowledge Box by identifying questions with no answers or low relevance scores.

Performance evolution

Track how your pipeline’s performance evolves over time, including score averages and ranges

Privacy & Security as core principles.

At Nuclia, we prioritize your data security and privacy with the highest industry standards and certifications, ensuring your information is handled with the utmost care and confidentiality.

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