In the era of rapidly advancing artificial intelligence (AI), it is essential to ensure that technology giants do not centralize control of technology. Combining AI and blockchain is the best approach to guarantee data openness and verifiability. Knowledge graphs have excellent data organization and retrieval capabilities, and retrieval-augmented generation (RAG) and knowledge graphs enhance the accuracy of large language models by providing up-to-date, contextually relevant information.
Decentralized knowledge graphs are the next major paradigm shift, leveraging blockchain technology to ensure open access to information while enhancing trust through verifiability and transparent governance. Geo is a pioneering decentralized knowledge graph that will soon be launched on The Graph, perfectly integrating blockchain technology and AI to create an Internet that is more accessible, reliable, and truly governed by users.
With human participation verification and AI-driven content generation, information will be generated and organized at exponential speed, ensuring trust and transparency while maintaining a human touch. To build a decentralized brain that is accessible and owned by everyone, we must ensure that the data remains open and public, building trust in the accuracy of the data.
Rather than being influenced by the biases of a few large corporations, we must design AI technology and its integration into our daily lives as a public product rather than being provided by individual technology giants in a closed environment. The role of RAG is crucial in large language models and information retrieval.
RAG is a process that requires consulting data sets outside the knowledge of the large language model’s training to provide the model with new information and context. RAG can be thought of as the working memory of the AI brain, integrating the latest knowledge by using external knowledge bases and vector databases to improve the accuracy and relevance of AI-generated content.
Beyond vector databases, knowledge graphs can greatly enhance the capabilities of RAG in large language models. Knowledge graphs have many advantages such as deeper semantic analysis, higher data retrieval efficiency, and stronger verifiability. They are good at understanding the complexity of natural language and can provide detailed insights into the relationships between data.
Decentralized knowledge graphs are a major paradigm shift, with the potential to connect all the data in the world and create, curate, organize, and combine it through thoughtful creation, making it easy to explore. Geo is a decentralized knowledge graph built on The Graph, the world’s leading decentralized protocol for indexing and querying blockchain data.
It is designed to make all knowledge openly accessible to everyone, without gatekeepers. Our overall vision is to build a decentralized brain that stores information from various data sources and organizes it into independent communities called “Spaces” by humans, using structured information for reasoning to ensure AI makes informed decisions.
Once the decentralized brain is born, it can be connected to the real world through APIs and become a truly autonomous intelligent agent, performing tasks for users and automatically handling daily chores. Combining blockchain technology with knowledge graphs can provide an additional layer of trust for data verification.
Every piece of data can be attributed to a verifiable source, and clear records of where the data came from, modifications made, and who was involved are maintained. This transparency enhances the credibility of the data and creates a safe environment for data use, ensuring that the decentralized knowledge graph becomes the best choice to promote the use of RAG technology in large language models.
The Graph not only meets the world’s demand for decentralized knowledge graphs but also allows the global user community to participate in the governance of such an important tool.
