The open-source OriginTrail Decentralized Knowledge Graph (DKG) leverages three key layers in its neuro-symbolic AI stack: 1. Trust layer—Leveraging blockchain for data integrity; 2. The knowledge base layer—Leveraging symbolic AI for superior knowledge organization and reasoning, 3. Verifiable AI layer—Leveraging neural AI for adaptive intelligence and automation.
Decentralized Knowledge Graph
A trusted, decentralized data structure that enhances AI systems with more accurate, accessible, and verifiable knowledge.
Own Your Data, Own Your AI
Internet users—humans or AI agents—are already
navigating a digital landscape filled with
misinformation, making the ability to own, verify, and
trust knowledge more vital than ever.
The OriginTrail Decentralized Knowledge Graph (DKG)
transforms data into discoverable and trusted
Knowledge Assets, ensuring that both humans and
machines can access the truth when it matters most.
In this new era, knowledge isn't just power—it's property,
shaping the future of trust and intelligence.
The Neuro-Symbolic AI stack
Decentralized Retrieval-Augmented Generation
Decentralized Retrieval-Augmented Generation (dRAG) improves AI by enabling more efficient, scalable, and privacy- preserving access to vast, distributed knowledge bases, enhancing the accuracy and relevance of generated responses.
Knowledge is the New Asset Class
Seize It with OriginTrail
Create & Own AI-ready Knowledge Assets
Easily transform your data into a symbolic graph of
Knowledge Assets, owned by you and uniquely
resolvable via Uniform Asset Locators (UALs).
Use & Share with any AI Model
Power your AI agents, chatbots, and apps with verifiable
Knowledge Assets while controlling visibility—publish
openly or keep assets private on your own device.
Precisely Retrieve with DRAG
Discover & query millions of Knowledge Assets with
blockchain-tracked data provenance with a
combination of neural and symbolic queries. Build
anything from shared memories for agent swarms to
enterprise-grade data spaces.
