Metric-Driven Development of a RAG system
Prerequisites
- Basic knowledge of pros and cons of LLM APIs
- Preliminary knowledge of RAG structure
Introduction
Retrieval Augmented Generation (RAG) is commonly used to enhance the performance of LLM-based systems or incorporate domain-specific knowledge to improve the generated answers of the LLM. However, effectively evaluating and tracking the performance of a RAG system is not straightforward, posing a real challenge in the development and monitoring of such systems in a production environment.
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