diff --git a/packages/ai/src/index.ts b/packages/ai/src/index.ts
index 6eb88fc..01ac6e0 100644
--- a/packages/ai/src/index.ts
+++ b/packages/ai/src/index.ts
@@ -15,35 +15,60 @@ const normalizeText = (value: string) => value.replace(/\s+/g, " ").trim();
 const contentHashFor = (value: string) =>
   crypto.createHash("sha256").update(normalizeText(value)).digest("hex");
 
-const seededUnitValue = (seed: string, index: number) => {
-  const digest = crypto.createHash("sha256").update(`${seed}:${index}`).digest();
-  const int = digest.readUInt32BE(0);
-  return int / 0xffffffff;
+/**
+ * Fast Mulberry32 PRNG for deterministic vector generation.
+ * @see https://stackoverflow.com/a/47593316
+ */
+const mulberry32 = (seed: number) => {
+  let state = seed;
+  return () => {
+    state += 0x6d2b79f5;
+    let t = state;
+    t = Math.imul(t ^ (t >>> 15), t | 1);
+    t ^= t + Math.imul(t ^ (t >>> 7), t | 61);
+    return ((t ^ (t >>> 14)) >>> 0) / 4294967296;
+  };
 };
 
 const syntheticVector = (text: string, dimensions = DEFAULT_EMBEDDING_DIMENSIONS) => {
   const normalized = normalizeText(text);
-  const hash = contentHashFor(normalized);
-  const values = Array.from({
-    length: dimensions
-  }, (_, index) => {
-    const centered = seededUnitValue(hash, index) * 2 - 1;
-    return Number(centered.toFixed(8));
-  });
-  return normalizeVector(values);
+  const hash = crypto.createHash("sha256").update(normalized).digest();
+  const seed = hash.readUInt32BE(0);
+  const random = mulberry32(seed);
+
+  const values = new Float64Array(dimensions);
+  for (let i = 0; i < dimensions; i++) {
+    const centered = random() * 2 - 1;
+    // Round to 8 decimal places for consistency with legacy implementation
+    values[i] = Math.round(centered * 1e8) / 1e8;
+  }
+  return normalizeVector(Array.from(values));
 };
 
 const normalizeVector = (values: number[]) => {
-  if (values.length === 0) {
+  const length = values.length;
+  if (length === 0) {
     return values;
   }
 
-  const magnitude = Math.sqrt(values.reduce((sum, value) => sum + value * value, 0));
+  let sumSq = 0;
+  for (let i = 0; i < length; i++) {
+    const val = values[i] ?? 0;
+    sumSq += val * val;
+  }
+
+  const magnitude = Math.sqrt(sumSq);
   if (magnitude === 0) {
-    return values.map(() => 0);
+    return new Array(length).fill(0);
   }
 
-  return values.map((value) => Number((value / magnitude).toFixed(8)));
+  const result = new Array(length);
+  for (let i = 0; i < length; i++) {
+    const val = values[i] ?? 0;
+    // Round to 8 decimal places
+    result[i] = Math.round((val / magnitude) * 1e8) / 1e8;
+  }
+  return result;
 };
 
 const toEmbeddingVectorRecord = (