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ChatDKG
Build trusted AI agents and prevent hallucinations by leveraging a decentralized knowledge graph that ensures data provenance and verifiable information ownership.
Paid only
Price not published
About ChatDKG
ChatDKG serves as a comprehensive launchpad for developing trusted artificial intelligence solutions anchored in a Decentralized Knowledge Graph (DKG). At its core, the platform allows users to transform raw data into Knowledge Assets—verifiable containers of structured information stored across multiple blockchains including Ethereum and Polkadot. By utilizing this decentralized infrastructure, the tool aims to create a Verifiable Internet for AI, where every piece of information used by a generative model has a clear record of provenance and ownership. This approach fundamentally shifts AI from a black-box system to a transparent ecosystem where data integrity is prioritized. The platform's technical backbone is Decentralized Retrieval-Augmented Generation (dRAG), a framework that combines neural AI with symbolic AI methodologies. Unlike standard RAG systems that rely solely on vector embeddings and similarity searches, ChatDKG utilizes SPARQL queries to extract precise, structured knowledge from the DKG. This hybrid model helps eliminate hallucinations and model collapse by ensuring that AI agents pull from a verified, crowdsourced network of knowledge. Builders can integrate ChatDKG with leading models such as Google Gemini, NVIDIA, and OpenAI, providing the flexibility to choose the best processing engine while maintaining a secure and verifiable data foundation. ChatDKG is particularly suited for enterprises, developers, and decentralized communities looking to build specialized AI services. It introduces Paranets—autonomously operated units governed by communities—which allow for the organized collection of Knowledge Assets around specific industries like manufacturing, healthcare, or sustainability. Through Initial Paranet Offerings (IPOs), participants can crowdsource knowledge mining and receive incentives in utility tokens. This makes the tool ideal for complex use cases requiring high visibility and trust, such as tracking pharmaceuticals in a supply chain or managing digital twins for structural engineering projects. What distinguishes ChatDKG from traditional AI platforms is its emphasis on data sovereignty and economic incentivization. Knowledge Assets are represented as NFTs, meaning ownership and transferability are handled via blockchain, giving creators full control over their intellectual property. The system also supports multimodal AI and cross-enterprise collaboration by providing a standardized way to connect disparate data sources. Through the ChatDKG Inception Program, early adopters can access specific tools, funding credits, and direct developer support to build and scale their trusted AI applications within the OriginTrail ecosystem.
ChatDKG pros & cons
Pros
- Ensures information provenance by linking data to the OriginTrail Decentralized Knowledge Graph.
- Reduces AI hallucinations by using a hybrid dRAG system that combines neural and symbolic AI.
- Supports a wide range of AI models including Google Gemini, OpenAI, and NVIDIA.
- Allows for verifiable data ownership where each Knowledge Asset is represented by an NFT.
- Incentivizes community-driven data growth through its unique Initial Paranet Offering mechanism.
Cons
- Requires familiarity with blockchain concepts and tokens like TRAC to operate effectively.
- Application-based entry for the Inception Program may limit immediate access for all developers.
- Technical complexity is higher than standard RAG due to the use of SPARQL queries and RDF data structures.
ChatDKG use cases
- Structural engineers can develop digital twins of buildings that retrieve multimodal information from the DKG to discover new data without hallucinations.
- Manufacturing R&D teams can connect production data across enterprises to foster secure collaboration and improve supply chain efficiency.
- Healthcare directors can establish trust in medicine distribution by creating verifiable assets on the DKG to mitigate grey market concerns.
- Open-source developers can launch community-owned Paranets to crowdsource specialized knowledge bases for industries like decentralized science.
ChatDKG features
- decentralized knowledge graph (dkg)
- information provenance tracking
- initial paranet offerings (ipo)
- multimodal ai model integration
- sparql query support
- paranet community units
- knowledge assets (nft-based ownership)
- decentralized retrieval-augmented generation (drag)
ChatDKG pricing
Is ChatDKG free? No, ChatDKG doesn't offer a free plan.
ChatDKG Inception Program
Price varies
- Early access to new tools and frameworks
- Funding credits up to 1M TRAC
- Direct developer support via private Discord
- Guidance for launching Initial Paranet Offerings
- Product exposure to tens of thousands of enterprises
- Private workshops and live Q&A sessions
- Access to templates for trusted AI solutions
- Knowledge crowdsourcing via OriginTrail community
ChatDKG FAQs
What is ChatDKG?
ChatDKG is a launchpad for trusted AI solutions that turns data into Knowledge Assets on a Decentralized Knowledge Graph. It enables the creation of predictable AI agents that benefit from information provenance and data ownership while supporting various AI models.
What is Decentralized Retrieval-Augmented Generation (dRAG)?
dRAG is an advanced framework that fetches relevant information from the OriginTrail DKG using SPARQL queries. It combines neural AI with symbolic AI to ensure more accurate, reliable, and verifiable AI-generated content compared to standard RAG systems.
What are Knowledge Assets?
Knowledge Assets are verifiable containers of structured data stored on the DKG with ownership represented by an NFT. They provide a trusted foundation for AI by enabling verification of data integrity and provenance on the blockchain.
How does ChatDKG support multimodal AI?
ChatDKG allows builders to choose from various AI models and platforms including Google Gemini, NVIDIA, OpenAI, and Llama Index. This freedom enables the integration of multiple data formats and processing models within a single trusted solution.
What are Paranets?
Paranets are autonomously operated units within the DKG owned by their communities. They consist of collections of Knowledge Assets for specific use cases, such as healthcare or sustainability, and utilize incentivization models to reward knowledge growth.
Ratings & reviews
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