Ragas is an open source framework for testing and evaluating LLM applications. Ragas provides metrics , synthetic test data generation and workflows f
Users generally appreciate Ragas for its user-friendly interface and efficient performance, highlighting its effectiveness in managing tasks seamlessly. However, some users have expressed concerns about occasional bugs that affect usability. Pricing is perceived as fair, matching the software's capabilities, though there are occasional mentions of it being on the higher end. Overall, Ragas maintains a positive reputation as a reliable tool in its category.
Mentions (30d)
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Platforms
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GitHub Stars
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1,324 forks
Users generally appreciate Ragas for its user-friendly interface and efficient performance, highlighting its effectiveness in managing tasks seamlessly. However, some users have expressed concerns about occasional bugs that affect usability. Pricing is perceived as fair, matching the software's capabilities, though there are occasional mentions of it being on the higher end. Overall, Ragas maintains a positive reputation as a reliable tool in its category.
Features
Use Cases
Industry
information technology & services
Employees
4
Funding Stage
Seed
Total Funding
$0.1M
13,173
GitHub stars
1
npm packages
1
HuggingFace models
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Ragas uses a subscription + tiered pricing model. Visit their website for current pricing details.
Key features include: Founders, Shahul, Jithin James.
Ragas is commonly used for: Monitoring LLM performance in real-time, Evaluating model outputs for accuracy, Tracking user engagement with AI tools, Identifying bottlenecks in LLM processing, Assessing the impact of model updates, Gathering user feedback on AI interactions.
Ragas integrates with: Slack, Jira, GitHub, Google Cloud, AWS, Azure, Zapier, Tableau.
Ragas has a public GitHub repository with 13,173 stars.
