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	Ragas ragas.io Research Team Data Active Remove or change	Company 2	Company 3	Company 4
Description
Summary	Ragas is an open-source library for evaluating and optimizing LLM applications, especially retrieval-augmented generation workflows.
Description	Ragas provides metrics, synthetic evaluation data generation, and online monitoring for large language model applications. It is delivered primarily as an open-source library with documentation and quickstart workflows, and it integrates with tools such as LangChain and LlamaIndex. The company also offers support for enterprise features and collaborations through Vibrant Labs.
Positioning	Open-source LLM evaluation and optimization tooling, positioned around systematic metrics, test generation, and monitoring for RAG and broader AI applications rather than bespoke services.
Key facts
HQ location	San Francisco, CA, USA
Founded	2023
Employee range	1-10
Funding stage	Seed
Company type	Private
Pricing model	custom quote, licensing open source
Last updated	Jun 21, 2026
Financials
Revenue estimate	Unknown
Valuation estimate	Unknown
Investments	Public site materials indicate Ragas is backed by Y Combinator, Heavybit, and founders of Chef, Heroku, and CockroachDB, but no dated round amount or formal valuation was found in the reviewed sources.
Relationships
Target customers	Developers and teams building LLM applications, especially RAG systems, who need evaluation, experimentation, and monitoring workflows.
Key competitors	LangSmith, Arize AI, Langfuse, TruLens
Known customers	Open-source community; LangSmith integration/reference
Segments & Industries
Segments	AI Workflows, AI Developer Tools, Knowledge & RAG, Document AI, AI Quality & Observability, AI Governance & Risk, Chatbots, Analytics & BI
Industries	General Purpose