From fed348e214cff971410d4e39826310587d0894a6 Mon Sep 17 00:00:00 2001
From: Alejandro Rosales <alejandro.rosales@lasalle.mx>
Date: Tue, 17 Feb 2026 11:28:29 -0600
Subject: [PATCH] fix: update query text and similarity values in embeddings
 example

---
 notebooks/embeddings-openai.ipynb | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/notebooks/embeddings-openai.ipynb b/notebooks/embeddings-openai.ipynb
index 05e0ff0..d2f1083 100644
--- a/notebooks/embeddings-openai.ipynb
+++ b/notebooks/embeddings-openai.ipynb
@@ -120,7 +120,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "id": "2d8fa9a9",
    "metadata": {},
    "outputs": [
@@ -128,22 +128,22 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "🔎 Consulta: ¿Cómo se usan vectores?\n",
+      "🔎 Consulta: ¿Cómo son buscados vectores?\n",
       "\n",
       "- Los vectores se usan con el cliente de OPENAI embeddings\n",
-      "  Similaridad: 0.6407\n",
+      "  Similaridad: 0.5639\n",
       "\n",
       "- Supabase permite almacenar vectores usando pgvector.\n",
-      "  Similaridad: 0.5367\n",
+      "  Similaridad: 0.4758\n",
       "\n",
       "- Los embeddings convierten texto en representaciones numéricas.\n",
-      "  Similaridad: 0.4706\n",
+      "  Similaridad: 0.3645\n",
       "\n"
      ]
     }
    ],
    "source": [
-    "const consulta = \"¿Cómo se usan vectores?\";\n",
+    "const consulta = \"¿Cómo son buscados vectores?\";\n",
     "\n",
     "const emb = await openai.embeddings.create({\n",
     "  model: \"text-embedding-3-small\",\n",