reference redis_url as a kwarg

Author: tylerhutcherson

docs/user_guide/05_hash_vs_json.ipynb

@@ -283,10 +283,12 @@
     "\n",
     "t = (Tag(\"credit_score\") == \"high\") & (Text(\"job\") % \"enginee*\") & (Num(\"age\") > 17)\n",
     "\n",
-    "v = VectorQuery([0.1, 0.1, 0.5],\n",
-    "                \"user_embedding\",\n",
-    "                return_fields=[\"user\", \"credit_score\", \"age\", \"job\", \"office_location\"],\n",
-    "                filter_expression=t)\n",
+    "v = VectorQuery(\n",
+    "    vector=[0.1, 0.1, 0.5],\n",
+    "    vector_field_name=\"user_embedding\",\n",
+    "    return_fields=[\"user\", \"credit_score\", \"age\", \"job\", \"office_location\"],\n",
+    "    filter_expression=t\n",
+    ")\n",
     "\n",
     "\n",
     "results = hindex.query(v)\n",
@@ -395,8 +397,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import numpy as np\n",
-    "\n",
     "json_data = data.copy()\n",
     "\n",
     "for d in json_data:\n",
@@ -593,10 +593,7 @@
    "outputs": [],
    "source": [
     "# construct a search index from the json schema\n",
-    "bike_index = SearchIndex.from_dict(bike_schema)\n",
-    "\n",
-    "# connect to local redis instance\n",
-    "bike_index.connect(\"redis://localhost:6379\")\n",
+    "bike_index = SearchIndex.from_dict(bike_schema, redis_url=\"redis://localhost:6379\")\n",
     "\n",
     "# create the index (no data yet)\n",
     "bike_index.create(overwrite=True)"
@@ -633,14 +630,15 @@
     "\n",
     "vec = emb_model.embed(\"I'd like a bike for aggressive riding\")\n",
     "\n",
-    "v = VectorQuery(vector=vec,\n",
-    "                vector_field_name=\"bike_embedding\",\n",
-    "                return_fields=[\n",
-    "                    \"brand\",\n",
-    "                    \"name\",\n",
-    "                    \"$.metadata.type\"\n",
-    "                ]\n",
-    "            )\n",
+    "v = VectorQuery(\n",
+    "    vector=vec,\n",
+    "    vector_field_name=\"bike_embedding\",\n",
+    "    return_fields=[\n",
+    "        \"brand\",\n",
+    "        \"name\",\n",
+    "        \"$.metadata.type\"\n",
+    "    ]\n",
+    ")\n",
     "\n",
     "\n",
     "results = bike_index.query(v)"