Topic
Haystack Evaluation Pipelines
12 posts on haystack evaluation pipelines — part of framework tutorials on the n4n AI blog.
Using Claude 3.5 Sonnet as a judge in Haystack evaluation
Step-by-step tutorial for wiring Claude 3.5 Sonnet as an LLM judge in Haystack evaluation pipelines, with runnable code and expected outputs.
Haystack evaluation tutorial: exact match vs semantic
Compare Haystack's exact match and semantic evaluators across capabilities, cost, latency, ergonomics, and limits — with code examples and a clear verdict for each use case.
Haystack evaluation pipeline tutorial for retrieval quality
Build a production-ready Haystack evaluation pipeline to measure retrieval quality with runnable code and expected outputs at each step.
Haystack evaluation pipeline tutorial: dataset preparation
Build a Haystack evaluation pipeline from scratch — prepare datasets, define ground truth, and validate your RAG or QA system with runnable code.
Haystack evaluation pipeline tutorial: answer correctness
Build a Haystack evaluation pipeline to measure answer correctness with runnable code, from prerequisites to CI integration.
Haystack evaluation pipeline tutorial with context relevance
Build a Haystack evaluation pipeline that measures context relevance for RAG systems, with runnable code and expected outputs at each step.
Haystack evaluation pipeline tutorial: faithfulness metrics
Build a Haystack evaluation pipeline to measure RAG faithfulness with runnable code, from dataset prep to metric interpretation.
Evaluating RAG pipelines in Haystack with n4n.ai models
Step-by-step guide to evaluate RAG pipeline Haystack n4n.ai models with Haystack 2.x, covering setup, evaluation harness, and model swapping pitfalls.
Continuous evaluation for Haystack pipelines in CI
A practical guide to continuous evaluation of Haystack pipelines in CI: metrics, golden datasets, wiring, thresholds, and pitfalls for LLM quality gates.
Comparing models with Haystack evaluation pipelines
Practical guide to using Haystack evaluation pipelines to compare models head-to-head on cost, latency, and quality with reproducible code.
Building an LLM-as-judge evaluator in Haystack 2.0
Step-by-step guide to building an llm-as-judge evaluator haystack 2.0 pipeline for scoring RAG answers with runnable code and verification.
Building a regression test suite for Haystack pipelines
Practical steps to build a regression test suite for Haystack pipelines that catches retrieval and generation drift using pytest, snapshots, and evaluators in CI.
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