About This Site
An ontology-centered Graph RAG platform that structures documents into reusable AI knowledge packs. OpenCrab is an ontology-centered knowledge platform designed for the AI agent era. It enables experts, researchers, and AI builders to transform scattered documents, notes, workflows, and domain expertise into structured, evidence-backed 'ontology packs.' These packs can be searched, shared, and queried by AI agents using Graph RAG and Model Context Protocol (MCP), grounding AI workflows in verifiable, high-quality knowledge graphs.
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Key Features AI
Core Features
Ontology Pack Creation: Converts scattered documents and expertise into reusable, structured knowledge packs.
Graph RAG & MCP Integration: Connects knowledge graphs seamlessly to LLMs and development workspaces via Model Context Protocol.
Multi-format Data Ingestion: Supports ingestion of PDFs, HWP files, Notion, GitHub, images (via OCR/CLIP), and web research.
9-Space MetaOntology Structure: Automatically organizes extracted concepts into structured categories like Subject, Evidence, Claim, Policy, and Lever.
Expert Marketplace: Provides a dedicated workflow for domain experts to publish, verify, and sell customized ontology packs.
Advantages
Excellent integration with Model Context Protocol (MCP) and modern AI tools like Claude and Cursor.
Converts unstructured documents into highly structured, traceable, and evidence-backed knowledge graphs.
Enables domain experts to monetize their knowledge through a dedicated marketplace.
Supports local and cloud workflows, including OCR and CLIP image processing.
缺点:The Free plan does not allow personal document ingestion or private storage.
缺点:Requires a basic understanding of ontologies and knowledge graphs to utilize effectively.
缺点:Automated knowledge workflow agents are still under active development.
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