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    Variable TitanTextEmbedV2Dim256Const

    TitanTextEmbedV2Dim256: {
        dimensions: 256;
        distanceFunction: "COSINE";
        name: "amazon.titan-embed-text-v2:0";
        scoreToSimilarity: (score: number) => number;
    } = ...

    TitanTextEmbedV2 at 256 output dimensions — the smallest Titan V2 variant, minimizing vector storage and write cost where coarse similarity is enough.

    The provider must request the matching output size from the model (Bedrock: body: JSON.stringify({ inputText: text, dimensions: 256 })); a mismatched vector fails the write with an EmbeddingError.

    Type Declaration

    • Readonlydimensions: 256
    • ReadonlydistanceFunction: "COSINE"
    • Readonlyname: "amazon.titan-embed-text-v2:0"
    • ReadonlyscoreToSimilarity: (score: number) => number