Summary
Open-source evaluation and testing framework for LLM applications, especially RAG systems, with metrics, synthetic test data and evaluation workflows.
Description
Ragas provides metrics, synthetic test data generation and workflows for systematically evaluating LLM applications and RAG pipelines for faithfulness, context quality and answer relevance.
Positioning
Open-source evaluation framework for RAG and LLM applications
Key facts
- HQ location
- San Francisco, CA, USA
- Founded
- 2023
- Employee range
- — (Unknown)
- Funding stage
- —
- Company type
- Private (Open-source project / private company)
- Pricing model
- Licensing Open Source (Open-source; commercial/enterprise offering unclear)
- Last updated
Financials
- Revenue estimate
- Unknown
- Valuation estimate
- Unknown
- Investments
- ~$500K funding reported by third-party startup databases; source confidence low
Relationships
- Target customers
- Developers and AI teams building RAG and LLM applications
- Key competitors
- TruLens, LangSmith, DeepEval, PromptLayer, Braintrust
- Known customers
- Open-source community; LangSmith integration/reference
Classification (raw research text)
- Core focus
- RAG and LLM evaluation
- Core industry
- Enterprise AI development / Open-source developer tools
- Core category
- LLM evaluation toolkit
Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.
Segments, Industries & Certifications
- Segments