Comparison

Contextual AI vs FastRAG

On the evidence we track, Contextual AI leads this comparison with a composite score of 54/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Contextual AI54
FastRAG47
Score
Vioscale score
Contextual AI54 / 100low · 41%
FastRAG47 / 100low · 35%
Pricing
Free tier
Contextual AI
FastRAG
Model
Contextual AIcommercial
FastRAGcommercial
Price level
Contextual AIunknown
FastRAGfree
Transparent
Contextual AI
FastRAG
Integrations
Count
Contextual AI1
FastRAG6
Security
Disclosure policy
Contextual AI
FastRAG
Gdpr
Contextual AI
FastRAG
Hipaa
Contextual AI
FastRAG
Soc2
Contextual AI
FastRAG
Adoption
Dependent repos
Contextual AI
FastRAG0
Github stars
Contextual AI
FastRAG1,785
Activity
Commits last 30d
Contextual AI
FastRAG0
Release
Cadence days
Contextual AI
FastRAG22
History
Contextual AI
FastRAG10 items
License
Spdx
Contextual AI
FastRAGApache-2.0
Language
Primary
Contextual AI
FastRAGPython
Market
Availability

Capabilities

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

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

What each one is

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

Contextual AI

Leader

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

FastRAG

A toolkit for researchers and developers to construct and optimize RAG applications. It provides streamlined components for retrieval and generation, with support for multiple LLM backends and hardware accelerators, and maintains compatibility with the Haystack framework.

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

Leader
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 ↗

FastRAG

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
FastRAG
CLI
Contextual AI
FastRAG
Deployment
Cloud / SaaS
Contextual AI
FastRAG
Self-hosted
Contextual AI
FastRAG
Hybrid
Contextual AI
FastRAG

Integrations

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

Contextual AI

Leader
1 total
  • Google Cloud
Independently observed

FastRAG

6 total
  • Haystack
  • HuggingFace
  • Elastic
  • Qdrant
  • OpenVINO
  • LlamaCpp
Independently observed

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