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Ragas vs OpenObserve

RagasOpenObserve

Bottom line: Ragas for teams evaluating RAG pipelines; OpenObserve for teams running agents in production.

	Ragas Open-source evaluation toolkit for RAG and LLM applications. Visit	OpenObserve OpenTelemetry-native observability for LLM calls, tools, and agent handoffs Visit
Votes	0	0
Pricing	Free	Freemium
Category	Llm Observability	Llm Observability
Tags	ragllm-evaluationopen-sourcetestingmetrics	opentelemetryllm tracingagent observabilitytoken costopen source
Best for	Teams evaluating RAG pipelines Developers adding eval to CI/CD RAG researchers and practitioners	Teams running agents in production Platform teams already using OpenTelemetry Organisations needing LLM cost attribution
Pros	Focused, research-backed RAG metrics Free and open source Reduces need for manual labeling via LLM scoring Synthetic test-set generation Broadened to LLM and agent evaluation	Agent traces are standard OpenTelemetry spans, not a silo Per-span token cost from your own model pricing Unlimited users with no per-seat charge AGPL-3.0 core with a self-hosted option Self-hosted enterprise free up to 50 GB per day
Cons	LLM-as-a-judge scores need validation Mainly a library; you build dashboards/infra Judge model choice affects reliability and cost Python-only Less turnkey than managed eval platforms	LLM observability is labelled preview Online evaluations are an enterprise feature Ingestion-based pricing needs volume forecasting Self-hosting carries operational overhead Payload capture raises data governance questions

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