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Ragas

https://ragas.io/ Research Team Data
Active

Open-source evaluation and testing framework for LLM applications, especially RAG systems, with metrics, synthetic test data and evaluation workflows.

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
Bootstrapped
Company type
Private (Open-source project / private company)
Pricing model
Licensing Open Source (Open-source; commercial/enterprise offering unclear)
Last updated
Jun 21, 2026

Revenue estimate

Unknown

Valuation estimate

Unknown

Investments

~$500K funding reported by third-party startup databases; source confidence low

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 segment/industry tags from this text is a future phase.

Attribute breakdown

  • AI Workflows Secondary feature
  • System / API Integration Secondary feature
  • Prompt Management / Prompt Engineering Secondary feature
  • Retrieval-Augmented Generation Primary focus
  • Enterprise Search / Knowledge Management Secondary feature
  • AI / LLM Data Pipeline Secondary feature
  • Document AI / Document Processing Secondary feature
  • AI Quality Assurance / LLM Evaluation Primary focus
  • AI Observability / Monitoring Secondary feature
  • AI Security / Guardrails Secondary feature
  • Human-in-the-Loop Review / Feedback Secondary feature
  • Text Chatbots / Conversational Assistants Secondary feature
  • Analytics / BI / Decision Intelligence Secondary feature
Show all 32 attributes
  • AI Workflows Secondary feature
  • AI Automation / Business Process Automation Not emphasized
  • AI Fine-tuning / Custom Model Training Not emphasized
  • Agent Builder / Agent Configuration Not emphasized
  • Multi-agent Orchestration / Runtime Not emphasized
  • System / API Integration Secondary feature
  • Prompt Management / Prompt Engineering Secondary feature
  • Retrieval-Augmented Generation Primary focus
  • Graph RAG / Knowledge Graph Retrieval Not emphasized
  • Enterprise Search / Knowledge Management Secondary feature
  • AI / LLM Data Pipeline Secondary feature
  • Document AI / Document Processing Secondary feature
  • Model Deployment / Inference Infrastructure Not emphasized
  • Traditional Machine Learning Not emphasized
  • AI Quality Assurance / LLM Evaluation Primary focus
  • AI Observability / Monitoring Secondary feature
  • AI Security / Guardrails Secondary feature
  • Data Privacy / PII / Confidential AI Not emphasized
  • AI Governance / Policy Management Not emphasized
  • AI Risk / Compliance Not emphasized
  • AI Asset Inventory / Model Registry Not emphasized
  • Human-in-the-Loop Review / Feedback Secondary feature
  • Call Transcription / Speech-to-Text Data Capture Not emphasized
  • Conversation Intelligence / Speech Analytics Not emphasized
  • Text Chatbots / Conversational Assistants Secondary feature
  • Voice AI Agents Not emphasized
  • Voice Infrastructure / STT / TTS Not emphasized
  • AI for Customer Experience / Support Automation Not emphasized
  • Sales / Revenue Intelligence Not emphasized
  • Analytics / BI / Decision Intelligence Secondary feature
  • Enterprise App / Internal Tool Builder Not emphasized
  • Vertical-Specific AI Not emphasized