update examples

Author: tylerhutcherson

docs/examples/openai_qna.ipynb

@@ -710,13 +710,11 @@
    "source": [
     "import os\n",
     "from redisvl.vectorize.text import OpenAITextVectorizer\n",
-    "from redisvl.utils.utils import array_to_buffer\n",
     "\n",
     "api_key = os.environ.get(\"OPENAI_API_KEY\", \"\")\n",
     "oaip = OpenAITextVectorizer(EMBEDDINGS_MODEL, api_config={\"api_key\": api_key})\n",
     "\n",
-    "chunked_data[\"embedding\"] = oaip.embed_many(chunked_data[\"content\"].tolist())\n",
-    "chunked_data[\"embedding\"] = chunked_data[\"embedding\"].apply(lambda x: array_to_buffer(x))\n",
+    "chunked_data[\"embedding\"] = oaip.embed_many(chunked_data[\"content\"].tolist(), as_buffer=True)\n",
     "chunked_data"
    ]
   },

docs/user_guide/vectorizers_03.ipynb

@@ -105,7 +105,7 @@
     "    \"Today is a sunny day\"\n",
     "]\n",
     "\n",
-    "embeddings = hf.embed_many(sentences)\n"
+    "embeddings = hf.embed_many(sentences, as_buffer=True)\n"
    ]
   },
   {
@@ -183,7 +183,7 @@
     "# the vector is stored as a bytes buffer\n",
     "\n",
     "data = [{\"text\": t,\n",
-    "         \"embedding\": array_to_buffer(v)}\n",
+    "         \"embedding\": v}\n",
     "        for t, v in zip(sentences, embeddings)]\n",
     "\n",
     "index.load(data)"