Topic
LlamaIndex Retrieval Evaluation & Metrics
4 posts on llamaindex retrieval evaluation & metrics — part of framework tutorials on the n4n AI blog.
Framework tutorialsGuide
LlamaIndex RelevancyEvaluator explained
A hands-on llamaindex relevancyevaluator tutorial covering setup, minimal code, output schema, judge model tradeoffs, and common pitfalls when evaluating RAG retrieval quality.
4 min read
Framework tutorialsTutorial
Evaluate LlamaIndex retrieval with hit rate and MRR
Hands-on llamaindex retrieval evaluation hit rate mrr tutorial: build a vector index, define a dataset, and measure retriever quality with code.
3 min read
Framework tutorialsTutorial
Building a RAG evaluation pipeline in LlamaIndex
A hands-on llamaindex rag evaluation pipeline tutorial: build retrieval and response eval with LlamaIndex, pytest, and OpenAI-compatible APIs.
2 min read
Framework tutorialsHow-to
Benchmark LlamaIndex retrievers with recall at k
A practical llamaindex retriever benchmark recall at k tutorial: create ground-truth eval sets, run retrieval, and compute recall@k in Python.
4 min read
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