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Revert "Update embedding model for WebSearch (#437)"
Browse filesThis reverts commit f88542b1121903c1df34b20bd7b8213148e85ca0.
src/lib/server/websearch/sentenceSimilarity.ts
CHANGED
@@ -6,14 +6,16 @@ function innerProduct(tensor1: Tensor, tensor2: Tensor) {
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return 1.0 - dot(tensor1.data, tensor2.data);
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}
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const extractor = await pipeline("feature-extraction", "Xenova/
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export async function findSimilarSentences(
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query: string,
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sentences: string[],
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{ topK = 5 }: { topK: number }
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) {
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const output: Tensor = await extractor(input, { pooling: "mean", normalize: true });
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const queryTensor: Tensor = output[0];
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return 1.0 - dot(tensor1.data, tensor2.data);
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}
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const extractor = await pipeline("feature-extraction", "Xenova/e5-small-v2");
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export async function findSimilarSentences(
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query: string,
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sentences: string[],
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{ topK = 5 }: { topK: number }
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) {
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// this preprocessing step is suggested for e5-small-v2 model
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// see more: https://huggingface.co/intfloat/e5-small-v2/blob/main/README.md?code=true#L2631
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const input = [`query: ${query}`, ...sentences.map((s) => `passage: ${s}`)];
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const output: Tensor = await extractor(input, { pooling: "mean", normalize: true });
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const queryTensor: Tensor = output[0];
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