Ragas vs Respan (2026)
Updated February 28, 2026
Overview
Ragas is an open-source evaluation framework specifically designed for RAG (Retrieval-Augmented Generation) pipelines. It provides metrics for context precision, context recall, faithfulness, and answer relevancy, helping teams measure and improve the quality of their RAG systems. Ragas has become the standard evaluation toolkit for teams building production RAG applications.
Respan is LLM observability built into an AI router: nested traces for every agent run, evals on live production traffic, and a click from any score to its trace.
Key features
Core capabilities each platform advertises.
- RAG-specific evaluation framework
- Component-wise metrics for RAG
- Synthetic test data generation
- LLM-as-judge evaluators
- Open-source Python library
- Nested traces for every LLM call, tool run, and agent turn
- Threads for multi-turn sessions
- Online evals on live production traffic
- LLM-judge, code, and human evaluators
- Datasets from production logs and experiments at scale
- Monitors with Slack, email, and webhook alerts
- Prompt versioning and deployment without code changes
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Specialized focus on RAG evaluation with metrics specifically designed for retrieval systems
- Open-source framework providing transparency and community-driven development
- Strong industry endorsement from OpenAI, LangChain, and LlamaIndex
- Y Combinator backing providing credibility and potential for growth
- Easy integration with popular frameworks like LangChain and LlamaIndex
Cons
- Very small team of 3 employees may limit support and feature development
- Limited to RAG evaluation, not a comprehensive observability solution
- Minimal funding ($500K) compared to competitors may impact long-term sustainability
- Lack of clear commercial pricing model for enterprise features
Pros
- Every score links to the trace that produced it
- Evals run on live production traffic, not only on test sets
- Built into the router, so there's no separate gateway to integrate
- Monitors alert the moment a metric breaches
- Unlimited seats on the free plan
Cons
- The free plan retains data for 7 days
- The free plan includes 1k scores and 2 evaluators
- Ingestion throughput is metered per tier, starting at 412 logs per minute on Free
Ragas or Respan — which should you choose?
Choose Ragas if you wantChoose if you want
- Evaluating RAG pipeline quality end-to-end
- Measuring retrieval precision and recall
- Testing faithfulness and answer relevance
- Generating synthetic evaluation datasets
- Benchmarking RAG across configurations
Choose Respan if you wantChoose if you want
- Debugging agent failures down to the step that broke
- Catching quality regressions before users report them
- Turning production failures into test datasets
- Testing a prompt or model change against real cases before shipping
- Attributing LLM cost to each end customer
Compare Ragas and Respan on your own traffic
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.
Try Respan free