Introduction to RAG Evaluation

Vectorize offers a powerful set of tools to help users conduct RAG evaluations with ease, ensuring you can identify the best-performing strategy before committing to building a RAG pipeline. This proactive approach helps you avoid the common mistakes that lead to hallucinations or poor system performance.

Customizable Evaluations: With Vectorize, you can test different embedding models, chunking strategies, and retrieval configurations in a controlled environment. Upload your documents, configure various evaluation pipelines, and compare how each one performs.

Performance Metrics: Vectorize provides detailed evaluation metrics such as NDCG (Normalized Discounted Cumulative Gain) and relevancy scores. These metrics help identify the strategies that retrieve the most relevant information and generate the most accurate answers, ensuring you select the best option for your final pipeline.

Synthetic Question Generation: To evaluate the performance of each vectorization strategy, Vectorize generates synthetic questions based on the documents you upload. These questions serve as a benchmark to measure how well the retrieval and generation components are working together.

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