Comparison

FastRAG 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.
FastRAG40
★Ragie61
Score
vioscaleAI score
FastRAG40 / 100medium · 54%
Ragie61 / 100medium · 73%
Pricing
Free tier
FastRAG✓
Ragie✓
Model
Price level
FastRAGfree
Ragiehigh
Starting price
FastRAG–
Ragie$100
Transparent
FastRAG✓
Ragie✓
Integrations
Count
FastRAG7
Ragie10
Security
Certifications
FastRAG–
Disclosure policy
FastRAG–
Ragie✓
Gdpr
FastRAG–
Ragie✓
Hipaa
FastRAG–
Ragie✓
Soc2
FastRAG–
Ragie✓
Trust center
Adoption
Dependent repos
FastRAG0
Ragie–
Github stars
FastRAG1,786
Ragie–
Activity
Commits last 30d
FastRAG0
Ragie–
Release
Cadence days
FastRAG22
Ragie–
History
FastRAG10 items
Ragie–
License
Spdx
FastRAGApache-2.0
Ragie–
Language
Primary
FastRAGPython
Ragie–
Market
Availability
FastRAG–
Content
Faq
FastRAG6 items
Ragie7 items

Capabilities

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

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

What each one is

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

FastRAG

An open-source Python toolkit that combines document retrieval with large language models to create question-answering and generation systems. Provides optimized components and supports multiple inference backends including Intel accelerators.

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.

FastRAG

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
FastRAG✗
Ragie✓
CLI
FastRAG✓
Ragie✓
Deployment
Cloud / SaaS
FastRAG✗
Ragie✓
Self-hosted
FastRAG✓
Ragie✗
On-premise
FastRAG✓
Ragie✗

Integrations

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

FastRAG

10 total
  • Haystack
  • HuggingFace
  • Elastic
  • Qdrant
  • OpenVINO
  • LlamaCpp
  • ONNX Runtime
  • Llama CPP
  • Intel Gaudi
  • Elasticsearch
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?

FastRAG 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.