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    Definition

    Vector Database

    A vector database stores and searches vector embeddings (numeric representations of meaning) to enable fast similarity search used in many AI systems.

    Why Vector Database Matters

    If an AI system uses vector search, it may retrieve content based on semantic similarity—not just keywords. That affects what gets cited and which brands appear.

    Key Factors

    • Semantic clarity of your content
    • Use of consistent terminology and language
    • Depth of topical coverage
    • Freshness of content in retrieval systems

    Action Steps

    Use clear, specific language describing what you are. Build pages that match how customers ask questions. Provide structured explanations that embeddings can capture reliably. We map which concepts your brand is "closest to" in AI retrieval.