AI Search

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    2024In Development

    Semantic indexing and intent-based retrieval systems.

    Key Features

    Semantic Understanding

    Goes beyond keywords to understand intent and context

    Smart Suggestions

    AI-powered autocomplete and query refinement

    Real-time Results

    Sub-100ms response times with intelligent caching

    Precision Ranking

    ML-based relevance scoring for optimal results

    System Architecture

    encodesearchmatchessorted
    User Query
    Embeddings
    Vector DB
    Ranking
    Cache Layer
    Results
    input
    process
    output
    storage
    service

    About This Project

    AI Search is our research initiative into next-generation search systems. Moving beyond keyword matching, we're exploring semantic understanding, intent recognition, and contextual retrieval. The system learns from user behavior to surface the most relevant results, even when queries are ambiguous or incomplete.