Education
Indexers at a Crossroads: How AI is Transforming the Future of Web3
In the rapidly evolving world of blockchain, indexers have become the unsung heroes. They make blockchain data accessible, searchable, and usable for Web3 applications.
AI Series
AI Series
Build Your Indexers with AI: Meet SubQuery MCP
The SubQuery SDK now supports MCP for supercharging development of SubQuery projects with AI tools. MCP is an open standard that connects AI models (like those in AI coding assistants) with the tools and files on your local machine—so the AI always understands the full context of your project.
AI Series
The Ethics and Benefits of Decentralised AI
Who controls the AI that shapes our world today? And should it be different? Artificial Intelligence (AI) has woven itself into the fabric of our lives, from personalised recommendations, to helping us interact with our favourite web3 project, even to advanced medical diagnostics. Yet, as AI becomes more central to
AI Series
Real-World Examples of AI Applications in Web3
As Web3 technology evolves, industries are adopting self-contained AI agentic applications—referred to as AI Apps—to improve user experiences, enhance operational efficiency, and enable more seamless interaction with decentralised platforms. These AI Apps, or autonomous agents, are programmed to perform specific functions with minimal human intervention, making them ideal
AI Series
AI Function Calling: Empowering AI with Real-World Tooling
Artificial intelligence (AI) continues to evolve rapidly, transforming industries and personal workflows alike. A particularly exciting feature driving the effectiveness of AI is function calling or function tooling, which bridges the gap between AI models and external systems or applications. By enabling AI to execute specific functions or interact with
AI Series
RAGs and How They Make AI Smarter
As artificial intelligence (AI) continues to revolutionise industries, there's growing interest in techniques that improve the way AI systems learn, reason, and deliver answers. One such method is RAG—Retrieval-Augmented Generation. RAG is rapidly becoming a key enabler of intelligent AI interactions by enhancing both contextual understanding and