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perf(ui): precalculate document embeddings for graph similarity #844

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perf(ui): precalculate document embeddings for graph similarity #844

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12 changes: 8 additions & 4 deletions packages/ui/memory-graph/hooks/use-graph-data.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -270,19 +270,23 @@ export function useGraphData(
});
});

// Precompute embeddings to avoid Array.from in the O(n^2) inner loop
const docEmbeddings = filteredDocuments.map((doc) =>
doc?.summaryEmbedding ? Array.from(doc.summaryEmbedding) : null,
);

// Document-to-document similarity edges
for (let i = 0; i < filteredDocuments.length; i++) {
const docI = filteredDocuments[i];
if (!docI) continue;
const embI = docEmbeddings[i];

for (let j = i + 1; j < filteredDocuments.length; j++) {
const docJ = filteredDocuments[j];
if (!docJ) continue;
const embJ = docEmbeddings[j];

const sim = calculateSemanticSimilarity(
docI.summaryEmbedding ? Array.from(docI.summaryEmbedding) : null,
docJ.summaryEmbedding ? Array.from(docJ.summaryEmbedding) : null,
);
const sim = calculateSemanticSimilarity(embI, embJ);
if (sim > 0.725) {
allEdges.push({
id: `doc-doc-${docI.id}-${docJ.id}`,
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