Comparison

Ragas vs Ragie

On the evidence we track, Ragie leads this comparison with a composite score of 61/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
Ragas54
★Ragie61
Score
vioscaleAI score
Ragas54 / 100low · 32%
Ragie61 / 100medium · 73%
Pricing
Free tier
Ragas✓
Ragie✓
Model
Price level
Ragasfree
Ragiehigh
Starting price
Ragas–
Ragie$100
Transparent
Ragas✓
Ragie✓
Integrations
Count
Ragas3
Ragie10
Security
Certifications
Disclosure policy
Ragas–
Ragie✓
Gdpr
Ragas–
Ragie✓
Hipaa
Ragas–
Ragie✓
Soc2
Ragas–
Ragie✓
Adoption
Dependent repos
Ragas1
Ragie–
Github stars
Ragas15,838
Ragie–
Release
Cadence days
Ragas7
Ragie–
History
Ragie–
License
Spdx
Ragie–
Language
Primary
RagasPython
Ragie–
Market
Availability
Ragas–
Content
Faq
Ragas6 items
Ragie7 items

Capabilities

Feature-by-feature on the axes that matter for rag tools. “-” means undocumented, not absent.

Capabilities
Hybrid retrieval
Ragas-
Ragie✓
Reranking integration
Ragas-
Ragie✓
Multi hop agentic retrieval
Ragas-
Ragie✓
Embedding provider agnostic
Ragas-
Ragie✗
LLM provider agnostic
Ragas-
Ragie✗
Built in rag eval metrics
Ragas✓
Ragie✗
Citation attribution
Ragas-
Ragie✓
Multimodal rag
Ragas-
Ragie✓
Managed ingestion pipeline
Ragas-
Ragie✓
Open source
Ragas✓
Ragie✓

What each one is

The product in its own terms, so the numbers below have context.

Ragas

A Python-based framework that evaluates RAG applications through automatic metrics covering faithfulness, relevance, and recall. Includes tools to synthetically generate test datasets customized for specific use cases, enabling developers to assess LLM application performance at both component and end-to-end levels.

Independently observed

Ragie

Leader

A fully managed retrieval-augmented generation service that automates document ingestion, parsing, indexing, and retrieval to power AI applications with accurate context.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Ragas

Open sourceFree tier
as of verify ↗

Ragie

Leader
from $100/moHybridFree tier

From $100/month. Free tier available. Transparent usage-based pricing with automatic credit top-ups.

  • DeveloperFree
    • Basic parsing and retrieval
    • Access to all advanced features
    • 10 GB free streaming storage
  • Starter$100/month plus usage
    • Unlimited retrievals
    • Fast mode processing
    • Hi-res mode processing
    • Search and storage overage at $0.002/page
    • All advanced features
  • Pro$500/month
    • Unlimited retrievals
    • 60,000 pages included
    • Fast and hi-res processing
    • All advanced features
    • Overage charges for additional pages
  • EnterpriseContact sales
    • Custom limits and features
    • Dedicated SLAs
    • Web crawler connector (programmatic control)
    • Advanced security options
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Ragas✗
Ragie✓
CLI
Ragas✓
Ragie✓
Deployment
Cloud / SaaS
Ragas✗
Ragie✓
Self-hosted
Ragas✓
Ragie✗

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Ragas

3 total
  • LlamaIndex
  • LangSmith
  • OpenAI
Independently observed

Ragie

Leader
14 total
  • Google Drive
  • Notion
  • Slack
  • Confluence
  • Gmail
  • Google Cloud Storage
  • Salesforce
  • Zendesk
  • Dropbox
  • Amazon S3
  • Web crawler
  • WordPress
  • YouTube
  • Model Context Protocol (MCP)
Independently observed
Still deciding?

Ragas or Ragie: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.