RAGAS vs TruLens vs DeepEval: Best RAG Evaluation Framework (2026)
A working comparison of RAGAS 0.2, TruLens 1.x, and DeepEval 2.x for evaluating RAG pipelines: metrics, judge models, CI wiring, and where each one actually fits.
AI automation engineer chaining LLMs into workflows that actually work. Bullish on tool use; bearish on prompt theatre.
A working comparison of RAGAS 0.2, TruLens 1.x, and DeepEval 2.x for evaluating RAG pipelines: metrics, judge models, CI wiring, and where each one actually fits.
Build a deep research agent in Python with LangGraph. Get planning, parallel search sub-agents, a reflection loop, and cited synthesis with runnable code and real cost figures.
LLM-as-a-Judge in production: cancel positional, verbosity, and self-preference bias, calibrate against Cohen's kappa with 200+ human labels, and wire reliable automated evaluation into your CI pipeline without breaking the budget.
A practical, evaluation-first guide to shipping text-to-SQL with LLMs in production: schema linking as RAG, semantic layers, three-stage query validation, and defense-in-depth guardrails, with runnable code and 2026 benchmark numbers.
I lost most of a Tuesday to an n8n AI Agent node that flat-out refused to call the HTTP Request tool I'd wired into it. After pulling apart a dozen variations I have six reproducible causes.