Comparison

Contextual AI vs Ragas

No leader: the top candidate Ragas has only 0.32 confidence (low), below the 0.35 needed to declare a winner. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
Contextual AI53
Ragas54
Score
vioscaleAI score
Contextual AI53 / 100medium · 61%
Ragas54 / 100low · 32%
Pricing
Free tier
Contextual AI✗
Ragas✓
Model
Contextual AIcommercial
Price level
Contextual AIunknown
Ragasfree
Transparent
Contextual AI✓
Ragas✓
Integrations
Count
Contextual AI1
Ragas3
Security
Disclosure policy
Contextual AI✓
Ragas–
Gdpr
Contextual AI✓
Ragas–
Hipaa
Contextual AI✓
Ragas–
Soc2
Contextual AI✓
Ragas–
Adoption
Dependent repos
Contextual AI–
Ragas1
Github stars
Contextual AI–
Ragas15,838
Release
Cadence days
Contextual AI–
Ragas7
History
Contextual AI–
License
Spdx
Contextual AI–
Language
Primary
Contextual AI–
RagasPython
Market
Availability
Content
Faq
Contextual AI6 items
Ragas6 items

Capabilities

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

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

What each one is

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

Contextual AI

A unified platform that enables enterprises to rapidly build and deploy specialized AI agents capable of reasoning across complex enterprise data, technical documentation, and institutional knowledge to automate high-value tasks at scale with grounded, accurate responses.

Independently observed

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

Pricing

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

Contextual AI

Hybrid

On-demand usage-based pricing from $25 free credits, or Enterprise with custom pricing. Component APIs available separately.

  • On-demandPay-as-you-go with $25 free credits
    • Unlimited users
    • Document access entitlements
    • Usage analytics
    • Pipeline observability
    • Simple text document ingestion
    • +5 more
  • EnterpriseContact sales
    • Unlimited users
    • User roles and admin permissions
    • Document access entitlements
    • SOC2 Type II compliance
    • HIPAA compliance
    • +15 more
as of verify ↗

Ragas

Open sourceFree tier
as of verify ↗

Platform & deployment

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

Platforms
Web
Contextual AI✓
Ragas✗
CLI
Contextual AI✓
Ragas✓
Deployment
Cloud / SaaS
Contextual AI✓
Ragas✗
Self-hosted
Contextual AI✗
Ragas✓
Hybrid
Contextual AI✓
Ragas✗

Integrations

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

Contextual AI

1 total
  • Google Cloud
Independently observed

Ragas

3 total
  • LlamaIndex
  • LangSmith
  • OpenAI
Independently observed
Still deciding?

Contextual AI or Ragas: 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.