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fix notebook
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‎docs/user_guide/08_semantic_router.ipynb‎

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@@ -32,7 +32,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 56,
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
@@ -88,9 +88,18 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/Users/robert.shelton/Library/Caches/pypoetry/virtualenvs/redisvl-56gG2io_-py3.11/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
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" from .autonotebook import tqdm as notebook_tqdm\n"
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]
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}
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],
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"source": [
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"import os\n",
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"from redisvl.extensions.router import SemanticRouter\n",
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"outputs": [
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{
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},
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{
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"cell_type": "code",
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{
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"11"
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]
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},
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"output_type": "execute_result"
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}
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
@@ -180,7 +189,7 @@
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"RouteMatch(name='technology', distance=0.419145862261)"
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]
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},
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"execution_count": 29,
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"execution_count": 5,
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"output_type": "execute_result"
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}
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"RouteMatch(name=None, distance=None)"
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]
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},
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"execution_count": 30,
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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" RouteMatch(name='sports', distance=0.67106004556)]"
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]
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},
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"execution_count": 37,
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"outputs": [
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{
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" RouteMatch(name='sports', distance=0.62926441431)]"
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]
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},
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"execution_count": 8,
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}
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},
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"cell_type": "code",
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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{
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"[RouteMatch(name='sports', distance=0.663253903389)]"
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]
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},
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}
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},
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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" 'routing_config': {'max_k': 3, 'aggregation_method': 'min'}}"
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]
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},
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"execution_count": 11,
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}
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},
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"cell_type": "code",
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\u001b[32m16:05:23\u001b[0m \u001b[34mredisvl.index.index\u001b[0m \u001b[1;30mINFO\u001b[0m Index already exists, not overwriting.\n"
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"\u001b[32m11:57:04\u001b[0m \u001b[34mredisvl.index.index\u001b[0m \u001b[1;30mINFO\u001b[0m Index already exists, not overwriting.\n"
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]
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}
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],
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},
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"cell_type": "code",
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},
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"cell_type": "code",
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"text": [
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"\u001b[32m16:05:29\u001b[0m \u001b[34mredisvl.index.index\u001b[0m \u001b[1;30mINFO\u001b[0m Index already exists, not overwriting.\n"
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"\u001b[32m11:57:06\u001b[0m \u001b[34mredisvl.index.index\u001b[0m \u001b[1;30mINFO\u001b[0m Index already exists, not overwriting.\n"
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]
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}
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],
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"outputs": [
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{
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" 'topic-router:technology:7e4bca5853c1c3298b4d001de13c3c7a79a6e0f134f81acc2e7cddbd6845961f']"
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]
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},
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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"cell_type": "code",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[{'id': 'topic-router:technology:149a9c9919c58534aa0f369e85ad95ba7f00aa0513e0f81e2aff2ea4a717b0e0',\n",
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"[{'id': 'topic-router:technology:f243fb2d073774e81c7815247cb3013794e6225df3cbe3769cee8c6cefaca777',\n",
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" 'reference_id': 'f243fb2d073774e81c7815247cb3013794e6225df3cbe3769cee8c6cefaca777',\n",
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" 'route_name': 'technology',\n",
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" 'reference': 'latest AI trends'},\n",
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" {'id': 'topic-router:technology:851f51cce5a9ccfbbcb66993908be6b7871479af3e3a4b139ad292a1bf7e0676',\n",
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" 'reference_id': '851f51cce5a9ccfbbcb66993908be6b7871479af3e3a4b139ad292a1bf7e0676',\n",
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" 'route_name': 'technology',\n",
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" 'reference': 'what are the latest advancements in AI?'},\n",
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" {'id': 'topic-router:technology:149a9c9919c58534aa0f369e85ad95ba7f00aa0513e0f81e2aff2ea4a717b0e0',\n",
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" 'reference_id': '149a9c9919c58534aa0f369e85ad95ba7f00aa0513e0f81e2aff2ea4a717b0e0',\n",
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" 'route_name': 'technology',\n",
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" 'reference': \"what's trending in tech?\"},\n",
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" {'id': 'topic-router:technology:7e4bca5853c1c3298b4d001de13c3c7a79a6e0f134f81acc2e7cddbd6845961f',\n",
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" 'reference_id': '7e4bca5853c1c3298b4d001de13c3c7a79a6e0f134f81acc2e7cddbd6845961f',\n",
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" 'route_name': 'technology',\n",
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" 'reference': 'new tech gadgets'},\n",
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" {'id': 'topic-router:technology:85cc73a1437df27caa2f075a29c497e5a2e532023fbb75378aedbae80779ab37',\n",
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" 'reference_id': '85cc73a1437df27caa2f075a29c497e5a2e532023fbb75378aedbae80779ab37',\n",
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" 'route_name': 'technology',\n",
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" 'reference': 'tell me about the newest gadgets'}]"
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" 'reference': 'tell me about the newest gadgets'},\n",
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" {'id': 'topic-router:technology:7e4bca5853c1c3298b4d001de13c3c7a79a6e0f134f81acc2e7cddbd6845961f',\n",
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" 'reference_id': '7e4bca5853c1c3298b4d001de13c3c7a79a6e0f134f81acc2e7cddbd6845961f',\n",
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" 'route_name': 'technology',\n",
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" 'reference': 'new tech gadgets'}]"
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]
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},
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"execution_count": 16,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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"cell_type": "code",
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"execution_count": 17,
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{
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"data": {
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"text/plain": [
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"[{'id': 'topic-router:technology:149a9c9919c58534aa0f369e85ad95ba7f00aa0513e0f81e2aff2ea4a717b0e0',\n",
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" 'reference_id': '149a9c9919c58534aa0f369e85ad95ba7f00aa0513e0f81e2aff2ea4a717b0e0',\n",
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"[{'id': 'topic-router:technology:f243fb2d073774e81c7815247cb3013794e6225df3cbe3769cee8c6cefaca777',\n",
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" 'reference_id': 'f243fb2d073774e81c7815247cb3013794e6225df3cbe3769cee8c6cefaca777',\n",
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" 'route_name': 'technology',\n",
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" 'reference': \"what's trending in tech?\"}]"
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" 'reference': 'latest AI trends'}]"
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]
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},
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"execution_count": 17,
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"output_type": "execute_result"
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}
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},
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"outputs": [
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"data": {
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"text/plain": [
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"3"
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"5"
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]
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},
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"execution_count": 18,
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"output_type": "execute_result"
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}
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],
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"source": [
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"# by route name\n",
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"deleted_count = router.delete_route_references(route_name=\"technology\")\n",
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"deleted_count = router.delete_route_references(route_name=\"sports\")\n",
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"deleted_count"
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]
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},
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"1"
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},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# by id\n",
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"deleted_count = router.delete_route_references(route_name=refs[0][\"route_name\"], reference_ids=[refs[0][\"reference_id\"]])\n",
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"deleted_count = router.delete_route_references(reference_ids=[refs[0][\"reference_id\"]])\n",
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"deleted_count"
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]
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"execution_count": 21,
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"source": [

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