Ragas
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.
Company profile
Overview
Ragas is an open-source library for evaluating and optimizing LLM applications, especially retrieval-augmented generation workflows.
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.
At a glance
Key facts
- HQ location
- San Francisco, CA, USA
- Founded
- 2023
- Employee range
- 1-10A small, remote-first team; current public materials describe the company as a small, talent-dense team.
- Funding stage
- Seed
- Company type
- PrivateOpen-source project / private company
- Last updated
- Pricing model
- Custom QuoteLicensing Open SourceOpen-source library with enterprise features and collaboration/support offered via direct contact; no public pricing page was found.
Business context
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.
Market context
Relationships
Source context
Classification (raw research text)
- Core focus
- LLM application evaluation and monitoring
- Core industry
- Enterprise AI development / Open-source developer tools
- Core category
- LLM evaluation and observability
Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.
Market taxonomy