Swarm · Jun 21, 2024

A concept on how to create a search index for NFTs that can be served from Swarm. The video is about exploring advanced search capabilities for NFTs and potentially other data types using decentralized indexing. The speaker introduces a proof of concept that aims to provide better search experiences by indexing NFTs in a decentralized manner, similar to how Google indexes web pages. The process involves fetching NFT images and metadata, processing them with AI models to extract descriptive keywords, and building an index for efficient searching. The demo uses OpenSea's API, AI frameworks like Lankchain and Olama, and specific AI models for image recognition and keyword extraction. The resulting index can be stored on Swarm, ensuring it's censorship-resistant and globally accessible. Applications include enhancing NFT marketplaces, creating new standards for searchable NFTs, DeFi analytics, identifying fraudulent NFTs, and boosting the adoption of Swarm. The talk also touches on potential future developments like enabling Swarm nodes to perform AI computations. Questions from the audience address the uniqueness of this approach compared to existing traits-based searches on platforms like OpenSea and the updatable nature of the index.