On November 7, the blockchain data network Chainbase announced a strategic partnership with Google Gemini, aiming to enrich its Chainbase Manuscript platform with advanced data interaction and analysis capabilities. This partnership seeks to provide a smarter and more user-friendly experience for on-chain data applications. Users will now be able to perform complex data queries and analyses using only natural language, simplifying data access and accelerating analysis processes.
Comprehensive Data Analysis and Natural Language Usage
The language model capabilities offered by Google Gemini will deepen the data analysis processes of Chainbase Manuscript. This model will make structured data sets clearer and more functional.
Users will be able to quickly retrieve, analyze, and visualize data through natural language queries. This functionality will accelerate access to and usage of blockchain data, making it more intuitive for users.
Additionally, Chainbase Manuscript’s robust AI-based query solution will facilitate data interaction and improve platform accessibility. This move strengthens Chainbase’s leadership in decentralized data infrastructure while making significant strides toward widespread use of high-quality data.
Expanded Collaboration with Google Cloud
This new partnership further advances Chainbase’s existing collaboration with Google Cloud. Through Google Cloud BigQuery integration, Chainbase provides over 700 million developers and institutional users access to more than 300 real-time updated multi-chain data sets. These data sets cater to a wide range of applications globally, enabling large-scale adoption of high-quality data in the Web3 space.
Empowered by Google Gemini, Chainbase Manuscript plays a crucial role in the faster and more effective implementation of blockchain data applications.
