Revolutionising decentralised discovery with SurrealDB and confidential computing

Index Network is a decentralized platform that enhances user-centric discovery by allowing autonomous agents to securely access and synthesize both public and private data, maintaining privacy and relevance without central control. It leverages SurrealDB to manage diverse data structures such as vector, graph, relational, and document databases on a unified platform, facilitating efficient data retrieval without redundancy. By using Trusted Execution Environments (TEEs), the platform ensures that data is processed securely, preventing unauthorized access and maintaining user privacy. SurrealDB's architecture, which separates compute from storage, suits decentralized compute networks, enabling flexible querying and composability with public data. The use of Rust and SurrealDB's support for both graph and relational models, along with privacy management and scalability for multi-modality, positions Index Network to revolutionize decentralized discovery by overcoming challenges like unpredictable data structures, uncertain access patterns, and scalability constraints.

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