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OpenCrab vs Ragie

Side-by-side comparison of features, pricing, ratings, and alternatives.

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OpenCrab
OpenCrab지식을 그래프로. 그래프를 에이전트로. (Turn knowledge into graphs, graphs into agents.)
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Ragie
RagieGive your AI the context it needs to work.
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Overview
Description

OpenCrab is an Ontology Graph RAG platform that extracts entities, relationships, evidence, and claims from documents to build source-cited ontology graphs. These graphs can be packaged into reusable ontology packs and queried through graph RAG or MCP-compatible AI tools like Claude, ChatGPT, Cursor, and Codex.

Ragie is a context engine that provides purpose-built APIs for indexing, retrieval, parsing, and entity extraction to give AI agents, assistants, and apps the right context. It supports multimodal data (text, PDFs, images, audio, video), native connectors (Google Drive, Notion, Confluence, Slack), hybrid search, MCP server, partitions, and enterprise-grade security (SOC 2, GDPR, HIPAA). It is used for legal research, productivity assistants, and sales tech.

Pricing
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Paid (Subscription)

Details below.

Category
AI Research & Analysis
API Tools
Best for
Researchers, analysts, domain experts, and AI builders
AI developers, product teams, enterprises building AI agents, assistants, and applications that require accurate context from diverse data sources.
Specifications
Pricing
Free / Pro $10 per month / Expert $30 per month
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Category
Ontology Graph RAG Platform
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Data Sources
PDF, URL, OCR, Notion, GitHub
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Integrations
Claude, ChatGPT, Cursor, Codex, MCP clients
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API
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RESTful APIs for indexing, retrieval, parsing, entity extraction
MCP
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Context-aware MCP server
Search
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Hybrid (vector, keyword, summary)
Uptime
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99.9%+
Formats
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Text, PDFs, images, audio, video
Security
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SOC 2 Type II, GDPR, HIPAA, CCPA
Connectors
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Google Drive, Notion, Confluence, Slack, and more
Deployment
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Cloud, VPC, on-prem
Pros & Cons
Pros
  • MCP-based integration with Claude, ChatGPT, Cursor, and Codex
  • Graph RAG with grounded source citations
  • Supports PDF, URL, OCR, Notion, and GitHub ingestion
  • Ontology packs can be shared, versioned, and sold via marketplace
  • Handles full retrieval pipeline (vector, keyword, summary indexes)
  • Agentic OCR extracts structured elements from any document with bounding boxes
  • Plain language entity extraction
  • Multimodal support including video
Cons
  • Relatively early-stage platform
  • Ontology graph concepts may require a learning curve
  • Pricing may be limited for team or enterprise features
  • Pricing not publicly available
  • May be overkill for simple RAG use cases
  • Dependency on third-party service for core RAG infrastructure
Community & Metrics
Upvotes
0
0
User rating
Not enough data
Not enough data

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The Verdict

AI-generated from listing data

Ragie offers a comprehensive, enterprise‑grade RAG platform with multimodal support and strong security, but at undisclosed pricing; OpenCrab provides a lower‑cost, graph‑focused RAG solution with easier entry but less breadth and maturity.

Key differences

  • •Ragie supports full multimodal ingestion (text, PDFs, images, audio, video) and agentic OCR; OpenCrab limits to PDF, URL, OCR, Notion, GitHub.
  • •Ragie offers hybrid search (vector, keyword, summary) and partitions for data isolation; OpenCrab relies on ontology‑graph RAG without hybrid search.
  • •Ragie’s pricing is subscription‑based and not publicly disclosed, implying higher cost; OpenCrab has clear tiered pricing from free to $30/month.
  • •Ragie provides extensive enterprise security (SOC 2 Type II, GDPR, HIPAA, CCPA) and deployment options (cloud, VPC, on‑prem); OpenCrab’s security details are not specified.
  • •Ragie includes native connectors to many tools (Google Drive, Notion, Confluence, Slack); OpenCrab’s integrations focus on LLMs (Claude, ChatGPT, Cursor, Codex) and MCP clients.
DimensionWinner

Pricing & value

OpenCrab lists clear tiers (Free, $10, $30) while Ragie's pricing is undisclosed, suggesting higher cost.

OpenCrab

Ease of use / learning curve

OpenCrab’s graph‑RAG model is simpler for basic use; Ragie's full pipeline and many features may require more setup.

OpenCrab

Features & depth

Ragie provides multimodal ingestion, hybrid search, agentic OCR, partitions, and extensive security features.

Ragie

Integrations & ecosystem

Ragie offers native connectors to Google Drive, Notion, Confluence, Slack plus MCP; OpenCrab focuses on LLM integrations only.

Ragie

Collaboration

Ragie's partitions enable data isolation for teams; OpenCrab’s marketplace is collaborative but less about team data separation.

Ragie

Scalability

Ragie promises 99.9%+ uptime, VPC/on‑prem deployment, suitable for enterprise scale; OpenCrab’s scalability not specified.

Ragie

Security & privacy

Ragie lists SOC 2 Type II, GDPR, HIPAA, CCPA compliance; OpenCrab provides no security certifications.

Ragie

Choose OpenCrab if…

Teams or individuals seeking low‑cost, graph‑based RAG with basic document ingestion and LLM integration.

Choose Ragie if…

Enterprises needing multimodal RAG, strict compliance, and robust deployment options.

Common questions

What is the cost difference?

OpenCrab offers free, $10, and $30 per month plans; Ragie's subscription price is not publicly disclosed.

Does either product support video data?

Ragie supports video ingestion; OpenCrab does not list video as a supported format.

Can I run the platform on‑premises?

Ragie provides cloud, VPC, and on‑prem deployment; OpenCrab’s deployment options are not specified.