Topic
LlamaIndex Retrieval Evaluation & Metrics
12 posts on llamaindex retrieval evaluation & metrics — part of framework tutorials on the n4n AI blog.
Track RAG regression in LlamaIndex with evaluation metrics
A practical guide to building regression tests for LlamaIndex RAG pipelines using evaluation metrics, with code examples and common pitfalls.
LlamaIndex batch evaluation runner explained
Learn to run batch evaluations in LlamaIndex with practical code examples, common pitfalls, and tradeoffs for retrieval and generation quality metrics.
Measure faithfulness in LlamaIndex RAG with n4n.ai
Learn to measure faithfulness in LlamaIndex RAG pipelines with a complete end-to-end tutorial including code, evaluation setup, and result interpretation.
LlamaIndex retrieval evaluation: precision vs recall
A practical comparison of precision vs recall evaluation in LlamaIndex retrieval systems, with code examples and a decision framework for choosing the right metric.
LlamaIndex retrieval evaluation dataset generation
Generate synthetic evaluation datasets for LlamaIndex retrieval systems using LLMs, with runnable code for question generation, relevance labeling, and dataset validation.
LlamaIndex FaithfulnessEvaluator vs RelevancyEvaluator
Compare LlamaIndex FaithfulnessEvaluator and RelevancyEvaluator across capabilities, cost, latency, and failure modes to pick the right RAG metric.
LlamaIndex correctness evaluation for RAG answers
Learn how to evaluate RAG answer correctness with LlamaIndex — from basic LLM-as-judge to custom criteria, with code and common pitfalls.
Evaluate LlamaIndex RAG with Claude as judge on n4n.ai
Build a LlamaIndex RAG evaluation pipeline using Claude as an LLM judge, with runnable code for retrieval and generation metrics.
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.
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.
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.
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.
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