On-Chain Content Indexer & Search Layer

Updated: 8th March 2025

The On-Chain Content Indexer & Search Layer is a scalable, decentralized search infrastructure designed to enhance content discovery within the RuBaRu protocol. Currently supporting user and hashtag search, this layer will soon expand to captions, comments, and all content metadata, enabling a comprehensive and censorship-resistant search experience.

Key Features & Architecture:

• Fuzzy Logic-Based Tries Indexing: Implements trie-based data structures with fuzzy matching algorithms for error-tolerant, approximate search results, improving query flexibility and accuracy.

• Efficient Full-Text Search: Optimized on-chain indexing and retrieval mechanisms ensure low-latency, high-relevance search, even across large datasets.

• Decentralized Indexing Layer: Content metadata is sharded and distributed across multiple canisters, ensuring scalability, fault tolerance, and censorship resistance.

Planned Enhancements:

• Expanded Search Scope: Beyond users and hashtags, indexing will extend to captions, comments, media descriptions, and other metadata.

• Ranking & Relevance Algorithms: Intelligent ranking based on engagement metrics, recency, and context-aware weightage.

• Personalized Search Results: Future integration with AI-powered recommendation models for adaptive, user-preference-driven search refinement.

By leveraging fuzzy logic-based tries indexing, decentralized storage, and scalable full-text search, this layer ensures fast, efficient, and reliable content discovery, enhancing user engagement and accessibility within RuBaRu’s SocialFi ecosystem.