In the thriving development of Web3, the importance of data infrastructure is increasingly prominent, playing a key role in supporting the efficient operation of the entire ecosystem. As a pioneer in the Web3 data field, Chainbase is gradually constructing an efficient, reliable, and open hyperdata network with its unique dual-chain four-layer modular design and innovative native AI integration, providing a solid data foundation for the diversified development of Web3 applications.
Innovative architecture: Dual-chain four-layer, reshaping data processing paradigm
Data Access Layer: Multi-source integration and data integrity assurance
Chainbase's data access layer serves as the data entry point of the entire architecture, featuring strong compatibility and capable of supporting stream/batch processing sources, providing a rich array of channels for data input. Whether it is real-time generated data streams or batch processed historical data, they can be effectively integrated. In storage, it supports various storage solutions such as Lakehouse and Arweave to meet the storage needs of different types of data. Importantly, the data access layer employs zk-proof technology, which ensures the integrity of data during transmission and storage through zero-knowledge proofs, allowing users to be confident that the data will not be tampered with or damaged, providing a trustworthy raw data foundation for subsequent data processing.
Consensus Layer: Efficient consensus mechanism based on CometBFT + DPoS
The consensus layer is the core component of Chainbase network for achieving data consistency, built on CometBFT and employing the DPoS (Delegated Proof of Stake) mechanism. CometBFT is a proven high-performance Byzantine fault-tolerant consensus engine that can quickly reach consensus among nodes, ensuring consistency of data states in the network. The DPoS mechanism significantly improves consensus efficiency and reduces energy consumption by electing representative nodes to verify and generate blocks. In Chainbase's consensus layer, dual staking ($C tokens + EigenLayer restaking) is also used to achieve secondary finality, incorporating Ethereum-level security. This innovative design not only guarantees the efficiency of consensus but also enhances the network's security, allowing Chainbase to operate stably in the complex Web3 environment.
Execution Layer: Collaboration between CVM and ChainbaseDB
The execution layer is the 'driving engine' of Chainbase data processing, primarily composed of Chainbase Virtual Machine (CVM) and ChainbaseDB. The CVM possesses powerful parallel processing capabilities, able to handle massive data, with peak throughput reaching 500,000 QPS, ensuring Chainbase maintains high response speeds even with large-scale data queries and processing tasks. ChainbaseDB integrates VectorDB and GraphDB, optimized for the characteristics of AI data queries. VectorDB efficiently stores and retrieves vector data, providing good support for machine learning model training and inference; GraphDB excels in handling data with complex relationships, allowing Chainbase to better analyze and mine the associated information in blockchain data, providing users with more valuable data analysis results.
Co-processor layer: Knowledge contribution and incentive mechanism
The co-processor layer is an innovative highlight in Chainbase's architecture, allowing users to tokenize their expertise into tradable assets and incentivize the contribution of data models through C token rewards. In this layer, users can upload their data processing manuscripts, which, after verification and approval, will become tradable assets in the network. Other users can purchase these manuscripts using C tokens to gain the expertise and data processing logic contained within. This mechanism not only encourages users to actively contribute their expertise but also promotes the sharing and dissemination of data processing knowledge, allowing the Chainbase network to continuously evolve and improve, forming a vibrant knowledge ecosystem.
Native AI integration: Theia AI model leads a new era of intelligent analysis
Intelligent training based on on-chain data
The native AI large model Theia launched by Chainbase is an important breakthrough in the AI field. Theia is trained on verified on-chain data, which comes from a wide range of sources, including transaction records on the blockchain, smart contract states, user behavior, and more. Unlike traditional AI models, Theia can directly understand and process the complex structure and semantics of blockchain data without complex data preprocessing and transformation. This enables Theia to have higher accuracy and efficiency in analyzing blockchain data, providing users with more precise data analysis results and predictions.
Reducing perplexity, enhancing analytical performance
In terms of performance, Theia performs excellently. Compared to mainstream models like GPT, Theia's perplexity is reduced by 30%, which means that Theia can more accurately grasp the context when generating text or answering questions, producing more coherent and logical content. In the BERT benchmark tests, Theia also achieved outstanding results, further proving its strong capabilities in natural language processing and data analysis. Through Theia, Chainbase is able to provide users with more intelligent data services, helping developers better understand and utilize blockchain data, and promoting the intelligent development of Web3 applications.
Ecosystem empowerment: Multi-domain applications and community co-construction
Expansion of multi-domain application scenarios
Chainbase's innovative architecture and native AI integration provide a broad space for applications in multiple fields. In the financial sector, it can provide real-time and accurate market data and risk analysis for DeFi projects, helping users make more informed investment decisions; in the NFT field, Chainbase can analyze NFT transaction histories and market trends to provide references for NFT project assessment and pricing; in the supply chain field, Chainbase can utilize the tamper-proof characteristics of blockchain data, combined with AI analysis, to achieve transparent management and risk warnings in the supply chain.
Community co-construction and incentive mechanism
Chainbase understands the importance of community for project development, thus establishing a complete community co-construction and incentive mechanism. Through the incentive of C tokens, Chainbase has attracted numerous developers, data scientists, and enthusiasts to participate in the project. They contribute to Chainbase's development by providing code, data models, manuscripts, and other means, and receive corresponding C token rewards. This incentive mechanism not only promotes community activity and development but also enables Chainbase to gather global wisdom, continuously optimizing and innovating, creating a more complete Web3 data infrastructure.
With its innovative dual-chain four-layer modular design and native AI integration, Chainbase brings revolutionary changes to Web3 data infrastructure. In the future, as Web3 applications continue to expand and deepen, Chainbase is expected to become an important bridge connecting blockchain and AI, promoting the Web3 ecosystem towards a more intelligent, efficient, and open direction, unlocking infinite innovative possibilities.
