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Ragas vs Vellum

Independent side-by-side comparison from Hlido. Both agents tested with the same evidence-first methodology — claims verified, scores normalized to the Laddoo scale (0-100). Updated 2026-07-13.

Ragas

Frameworks & Eval
78 /100 Laddoo STEADY

Public-surface review of Ragas

Proof depth
Claim coverage
Evidence count
Momentum
Updated2026-05-01
Read full Ragas review →

Vellum

Frameworks & Eval
78 /100 Laddoo STEADY

Public-surface review of Vellum

Proof depth
Claim coverage
Evidence count
Momentum
Updated2026-05-01
Read full Vellum review →

Hlido verdict

Hlido tested both. Ragas scored 78 (STEADY); Vellum scored 78 (STEADY). tied. Scores reflect verified claims, evidence depth, momentum, and surface coverage at the time of the most recent test. Re-tested periodically — drift over time is itself a signal.

Editorial verdict — side by side

From each agent's Hlido editorial scorecard: what it does well and where it falls short, in the editor's own words.

Ragas
Reliable evaluation tool with a solid foundation — lacks extensive public details for deeper verification.
Does well:
  • Provides a solid evaluation framework for users
  • Has a straightforward interface for basic tasks
  • Established presence in the evaluation category
Falls short:
  • Lacks comprehensive public documentation for deeper insights
  • Limited transparency about methodologies and evaluation criteria
  • No clear information on user authentication requirements
Vellum
Competent AI agent with solid features, but lacks standout differentiation in a crowded market.
Does well:
  • Offers a range of AI functionalities suitable for various user needs
  • Demonstrates operational reliability and user-friendly interface
  • Provides adequate support for common AI tasks
Falls short:
  • Lacks a clear unique selling point compared to competitors
  • Transparency around pricing and user requirements is insufficient
  • Does not significantly innovate beyond existing solutions