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@ -204,19 +204,28 @@ export async function processUrl(
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});
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let rerankedLinks = mappedLinks;
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logger.info("Reranking pass 1 (threshold 0.6)...");
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logger.info("Reranking pass 1 (threshold 0.8)...");
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const rerankerResult = await rerankLinksWithLLM({
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links: rerankedLinks,
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searchQuery: rephrasedPrompt,
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urlTraces
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});
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rerankedLinks = rerankerResult.mapDocument.filter((x) => x.relevanceScore && x.relevanceScore > 0.6);
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rerankedLinks = rerankerResult.mapDocument.filter((x) => x.relevanceScore && x.relevanceScore > 0.8);
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let tokensUsed = rerankerResult.tokensUsed;
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logger.info("Reranked! (threshold 0.6)", {
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logger.info("Reranked! (threshold 0.8)", {
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linkCount: rerankedLinks.length,
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});
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// lower threshold to 0.6 if no links are found
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if (rerankedLinks.length === 0) {
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logger.info("No links found. Reranking with threshold 0.6");
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rerankedLinks = rerankerResult.mapDocument.filter((x) => x.relevanceScore && x.relevanceScore > 0.6);
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logger.info("Reranked! (threshold 0.6)", {
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linkCount: rerankedLinks.length,
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});
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}
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// lower threshold to 0.3 if no links are found
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if (rerankedLinks.length === 0) {
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logger.info("No links found. Reranking with threshold 0.3");
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@ -235,8 +244,9 @@ export async function processUrl(
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urlTraces,
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});
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// why 0.6? average? experimental results?
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if (secondPassRerankerResult.mapDocument.length > 0) {
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rerankedLinks = secondPassRerankerResult.mapDocument;
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rerankedLinks = secondPassRerankerResult.mapDocument.filter((x) => x.relevanceScore && x.relevanceScore > 0.6);
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logger.info("Reranked! (threshold 0.6)", {
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linkCount: rerankedLinks.length,
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});
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