updates vectorizer notebook to include setting dtype example

Author: justin-cechmanek

docs/user_guide/vectorizers_04.ipynb

@@ -823,6 +823,43 @@
     "    print(doc[\"text\"], doc[\"vector_distance\"])"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Selecting your float data type\n",
+    "When embedding text as byte arrays RedisVL supports 4 different floating point data types, `float16`, `float32`, `float64` and `bfloat16`.\n",
+    "Your dtype set for your vectorizer must match what is defined in your search index. If one is not explicitly set the default is `float32`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "vectorizer = HFTextVectorizer(dtype=\"float16\")\n",
+    "\n",
+    "# subsequent calls to embed('', as_buffer=True) and embed_many('', as_buffer=True) will now encode as float16\n",
+    "float16_bytes = vectorizer.embed('test sentence', as_buffer=True)\n",
+    "\n",
+    "# you can override this setting on each individual method call\n",
+    "float64_bytes = vectorizer.embed('test sentence', as_buffer=True, dtype=\"float64\")\n",
+    "\n",
+    "float16_bytes != float64_bytes"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -836,7 +873,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.8.13 ('redisvl2')",
+   "display_name": "redisvl-dev",
    "language": "python",
    "name": "python3"
   },
@@ -852,12 +889,7 @@
    "pygments_lexer": "ipython3",
    "version": "3.12.2"
   },
-  "orig_nbformat": 4,
-  "vscode": {
-   "interpreter": {
-    "hash": "9b1e6e9c2967143209c2f955cb869d1d3234f92dc4787f49f155f3abbdfb1316"
-   }
-  }
+  "orig_nbformat": 4
  },
  "nbformat": 4,
  "nbformat_minor": 2