LLM-as-a-Judge: Evaluating RAG Systems Beyond Exact-Match Metrics
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Introduction Building a Retrieval-Augmented Generation system is relatively straightforward. Building a reliable RAG system is not. A typical RAG pipeline looks like: User Query ↓ Query Processing ↓ Retriever ↓ Top-K Documents ↓ Context Construction ↓ LLM ↓ Generated Answer The difficult question i…
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- 2026-09-10 14:12 · DEV Community — Machine Learning
LLM-as-a-Judge: Evaluating RAG Systems Beyond Exact-Match Metrics