OpenAI RAG vs. Your Customized RAG: Which One Is Better?

The OpenAI Assistants' retrieval feature has been a topic of discussion in the AI community, as it incorporates Retrieval Augmented Generation (RAG) capabilities for question-answering. A comparison between OpenAI's built-in RAG and a customized RAG using Milvus shows that while the former slightly outperforms in answer similarity, the latter performs better in context precision, faithfulness, answer relevancy, and correctness. The Milvus-powered Customized RAG system also has higher Ragas Scores than OpenAI's built-in RAG. This superior performance is attributed to factors such as effective utilization of external data, better document segmentation and data retrieval, and the ability for users to adjust parameters in the customized RAG pipeline.

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