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Using Performance Metrics to Evaluate RAG Systems Evaluating the performance of a Retrieval-Augmented Generation (RAG) application can be a complex task for developers.
To help simplify this, Qdrant has partnered with Relari to provide an in-depth RAG evaluation process.
As a vector database, Qdrant handles the data storage and retrieval, while Relari enables you to run experiments to assess how well your RAG app performs in real-world scenarios. Together, they allow for fast, iterative testing and evaluation, making it easier to keep up with your app’s development pace.