consolidate Embedding.create calls into one (#543)

examples/vector_databases/pinecone/Gen_QA.ipynb

@@ -673,17 +673,13 @@
         "    # get texts to encode\n",
         "    texts = [x['text'] for x in meta_batch]\n",
         "    # create embeddings (try-except added to avoid RateLimitError)\n",
-        "    try:\n",
-        "        res = openai.Embedding.create(input=texts, engine=embed_model)\n",
-        "    except:\n",
-        "        done = False\n",
-        "        while not done:\n",
-        "            sleep(5)\n",
-        "            try:\n",
-        "                res = openai.Embedding.create(input=texts, engine=embed_model)\n",
-        "                done = True\n",
-        "            except:\n",
-        "                pass\n",
+	"    done = False\n",
+	"    while not done:\n",
+	"        try:\n",
+	"            res = openai.Embedding.create(input=texts, engine=embed_model)\n",
+	"            done = True\n",
+	"        except:\n",
+	"            sleep(5)\n",
         "    embeds = [record['embedding'] for record in res['data']]\n",
         "    # cleanup metadata\n",
         "    meta_batch = [{\n",