Ragas is an open source framework for testing and evaluating LLM applications. Ragas provides metrics , synthetic test data generation and workflows f
Based on the provided information, I cannot generate a meaningful summary of user opinions about "Ragas" as there are no actual review contents or substantive social mentions provided. The social mentions only show repeated YouTube titles "Ragas AI: Ragas AI" without any actual user feedback, comments, or review text. To provide an accurate summary of user sentiment, I would need access to the actual content of reviews, user comments, or detailed social media discussions about the tool's strengths, weaknesses, pricing, and overall user experience.
Mentions (30d)
0
Reviews
0
Platforms
1
GitHub Stars
13,173
1,324 forks
Based on the provided information, I cannot generate a meaningful summary of user opinions about "Ragas" as there are no actual review contents or substantive social mentions provided. The social mentions only show repeated YouTube titles "Ragas AI: Ragas AI" without any actual user feedback, comments, or review text. To provide an accurate summary of user sentiment, I would need access to the actual content of reviews, user comments, or detailed social media discussions about the tool's strengths, weaknesses, pricing, and overall user experience.
Features
Industry
information technology & services
Employees
5
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 has a public GitHub repository with 13,173 stars.