DeepEval
DeepEval and Zilliz Cloud work together to test and measure RAG pipeline performance and accuracy.
Use this integration for FreeAbout DeepEval
DeepEval is an evaluation framework built for testing Retrieval-Augmented Generation (RAG) pipelines. It helps developers measure and improve the performance of their RAG systems through metrics and testing tools.
Why Zilliz Cloud and DeepEval
RAG pipelines need both reliable vector storage and evaluation tools to perform well. Zilliz Cloud handles the vector database component while DeepEval provides the testing framework to measure retrieval accuracy and overall system performance. The combination gives developers a complete toolkit to build and test production RAG systems. Zilliz Cloud's managed vector database removes infrastructure complexity, while DeepEval helps ensure the system meets quality standards.
How Zilliz Cloud and DeepEval Work Together
In a typical workflow, Zilliz Cloud stores and indexes document vectors for the retrieval component of the RAG pipeline. When documents are retrieved, DeepEval measures the relevance and accuracy of the results.
The integration lets you test different aspects of your RAG system, from retrieval precision to answer quality. DeepEval provides metrics while Zilliz Cloud handles the vector search functionality.
Learn
The best way to start is with a hands-on tutorial. This tutorial will walk you through how to build observability with DeepEval & Zilliz Cloud.
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