Ragas
C
C tier on AI LLM Evaluation ToolsScore 5.4 · #24 of 30
- Android app
- Not listed
- Free plan
- No
- Runs on
- api, Linux
Summary
Ragas is ranked #24 of 30 in AI LLM evaluation tools on Everything Xiaomi. It runs on API, Linux.
Compared on AI LLM evaluation tools
Facts
- Product
- Ragas is a library for systematically evaluating large language model applications.docs.ragas.io · 4 Oct 2026
- Metrics
- It provides metrics for evaluating retrieval augmented generation, agent workflows, natural language comparisons, SQL, and other tasks.docs.ragas.io · 4 Oct 2026
- Custom metrics
- Users can create custom metrics tailored to their use case.docs.ragas.io · 4 Oct 2026
- Experiments
- Its experiments-first approach lets users run evaluations, observe results, and iterate on application changes.docs.ragas.io · 4 Oct 2026
- Synthetic data
- The product site says Ragas can synthetically generate diverse evaluation data customized for user requirements.ragas.io · 4 Oct 2026
- Production monitoring
- The product site describes online monitoring to evaluate LLM application quality in production.ragas.io · 4 Oct 2026
- Integrations
- The documentation lists integrations with Arize, LangSmith, Amazon Bedrock, Google Gemini, OCI Gen AI, LangChain, LangGraph, LlamaIndex, and other frameworks.docs.ragas.io · 4 Oct 2026
- Provider choice
- The quickstart documents OpenAI, Anthropic Claude, Google Gemini, local Ollama models, and custom providers for evaluation.docs.ragas.io · 4 Oct 2026
- Install
- The quickstart shows installation with uvx or pip and project dependencies with uv or pip.docs.ragas.io · 4 Oct 2026
- Results
- The quickstart says evaluations display results in the console and save them as CSV in the experiments directory.docs.ragas.io · 4 Oct 2026
- Support
- The product site directs support questions to its Discord #questions chatroom.ragas.io · 4 Oct 2026
- Enterprise
- The product site invites inquiries about enterprise features and collaborations by email or a founder meeting.ragas.io · 4 Oct 2026
- Security
- The opened product and documentation pages did not state security certifications or compliance details.ragas.io · 4 Oct 2026
- Maker
- The product site identifies founders Shahul and Jithin James and gives Vibrant Labs email addresses; it does not state headquarters or founding year.ragas.io · 4 Oct 2026
Best Ragas alternatives
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Where it ranks on Everything Xiaomi
- Best AI LLM Evaluation Tools in 2026#24 of 30
- Best LLM Evaluation Tools in 2026#19 of 29
- Best LLM Observability Tools in 2026#25 of 26
Is Ragas yours?
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Sources
- docs.ragas.io/en/stable/· checked 4 Oct 2026
- docs.ragas.io/en/stable/concepts/metrics/available_me· checked 4 Oct 2026
- ragas.io· checked 4 Oct 2026
- docs.ragas.io/en/stable/getstarted/quickstart/· checked 4 Oct 2026