This research introduces Semantica, a novel approach that leverages LLM embeddings to create effective decentralized search systems that rival centralized engines.

• Creates a semantic tree overlay network guided by large language models
• Addresses the power concentration issues of traditional search engines
• Maintains comparable document retrieval accuracy and speed without centralization
• Enhances user privacy and information security through distributed control

This matters because it offers a viable path to search that doesn't require surrendering data control to tech giants, potentially transforming how we balance search effectiveness with privacy concerns.

Semantica: Decentralized Search using a LLM-Guided Semantic Tree Overlay