Keywords AI
Keywords AI vs Ragas
Compare Keywords AI and Ragas side by side. Both are tools in the Observability, Prompts & Evals category.
Quick Comparison
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Pricing | — | Open Source |
| Best For | — | Developers building RAG applications who need specialized evaluation metrics |
| Website | keywordsai.co | ragas.io |
| Key Features | — |
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| Use Cases | — |
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When to Choose Keywords AI vs Ragas
- Evaluating RAG pipeline quality end-to-end
- Measuring retrieval precision and recall
- Testing faithfulness and answer relevance
About Keywords AI
Keywords AI provides a comprehensive LLM observability dashboard that tracks every request across 200+ models with detailed metrics including latency, token usage, cost, and quality scores. The platform offers real-time monitoring, request tracing, user analytics, and alerting for production AI applications. Teams use Keywords AI to debug issues, optimize performance, and understand how their LLM-powered features behave in production—all from a single pane of glass.
About Ragas
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.
What is Observability, Prompts & Evals?
Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.
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