Vector Database

A Vector Database is optimized for indexing and querying high-dimensional vectors, commonly used for RAG and semantic search.

Related terms

Related terms

  • Embeddings

    AI

    Embeddings are numerical vectors that capture semantic meaning, enabling similarity search, clustering, and retrieval workflows.

    Related AI terms: CLIP and Textual Inversion.

  • Vector

    Design

    A Vector is a scalable graphic format built from mathematical paths instead of pixels, enabling crisp rendering at any size.

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