diff --git a/docs/encoders/fastembed.ipynb b/docs/encoders/fastembed.ipynb
index 3134141e..800d0e84 100644
--- a/docs/encoders/fastembed.ipynb
+++ b/docs/encoders/fastembed.ipynb
@@ -47,7 +47,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install -qU \"semantic-router[fastembed]==0.0.20\""
+    "!pip install -qU \"semantic-router[fastembed]==0.1.0\""
    ]
   },
   {
@@ -59,7 +59,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -87,7 +87,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -114,9 +114,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Fetching 5 files:   0%|          | 0/5 [00:00<?, ?it/s]c:\\Users\\Joshu\\OneDrive\\Documents\\Aurelio\\agents-course\\07-pratical-ai\\.venv\\Lib\\site-packages\\huggingface_hub\\file_download.py:140: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\\Users\\Joshu\\AppData\\Local\\Temp\\fastembed_cache\\models--qdrant--bge-small-en-v1.5-onnx-q. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.\n",
+      "To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development\n",
+      "  warnings.warn(message)\n",
+      "Fetching 5 files: 100%|██████████| 5/5 [00:06<00:00,  1.33s/it]\n"
+     ]
+    }
+   ],
    "source": [
     "from semantic_router.encoders import FastEmbedEncoder\n",
     "\n",
@@ -139,21 +150,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-01-06 16:53:16 INFO semantic_router.utils.logger Initializing RouteLayer\u001b[0m\n"
+      "2025-01-07 15:40:59 - semantic_router.utils.logger - WARNING - base.py:356 - _get_index() - No index provided. Using default LocalIndex.\n",
+      "2025-01-07 15:41:00 - semantic_router.utils.logger - WARNING - local.py:148 - _write_config() - No config is written for LocalIndex.\n"
      ]
     }
    ],
    "source": [
-    "from semantic_router.layer import RouteLayer\n",
+    "from semantic_router.routers import SemanticRouter\n",
     "\n",
-    "rl = RouteLayer(encoder=encoder, routes=routes)"
+    "rl = SemanticRouter(encoder=encoder, routes=routes, auto_sync=\"local\")"
    ]
   },
   {
@@ -165,16 +177,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "RouteChoice(name='politics', function_call=None)"
+       "RouteChoice(name='politics', function_call=None, similarity_score=None)"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -185,16 +197,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "RouteChoice(name='chitchat', function_call=None)"
+       "RouteChoice(name='chitchat', function_call=None, similarity_score=None)"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -212,22 +224,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "RouteChoice(name=None, function_call=None)"
+       "RouteChoice(name=None, function_call=None, similarity_score=None)"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "rl(\"I'm interested in learning about llama 2\")"
+    "rl(\"I'm interested in learning about llama 2 mechanics\")"
    ]
   },
   {
@@ -254,7 +266,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.18"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/docs/encoders/google.ipynb b/docs/encoders/google.ipynb
index 38da5ea1..2dcc8587 100644
--- a/docs/encoders/google.ipynb
+++ b/docs/encoders/google.ipynb
@@ -53,7 +53,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -81,7 +81,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -133,9 +133,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from semantic_router.layer import RouteLayer\n",
+    "from semantic_router.routers import SemanticRouter\n",
     "\n",
-    "rl = RouteLayer(encoder=encoder, routes=routes)"
+    "rl = SemanticRouter(encoder=encoder, routes=routes, auto_sync=\"local\")"
    ]
   },
   {
@@ -203,7 +203,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/docs/encoders/huggingface-endpoint.ipynb b/docs/encoders/huggingface-endpoint.ipynb
index c5714142..30b45ee4 100644
--- a/docs/encoders/huggingface-endpoint.ipynb
+++ b/docs/encoders/huggingface-endpoint.ipynb
@@ -41,7 +41,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# !pip install -qU semantic-router==0.0.20"
+    "!pip install -qU \"semantic-router==0.1.0\""
    ]
   },
   {
@@ -55,16 +55,7 @@
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "d:\\Program_Installation\\anaconda\\envs\\testenv\\Lib\\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",
-      "  from .autonotebook import tqdm as notebook_tqdm\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from semantic_router import Route\n",
     "\n",
@@ -3187,9 +3178,9 @@
     }
    ],
    "source": [
-    "from semantic_router.layer import RouteLayer\n",
+    "from semantic_router.routers import SemanticRouter\n",
     "\n",
-    "rl = RouteLayer(encoder=encoder, routes=routes)"
+    "rl = SemanticRouter(encoder=encoder, routes=routes, auto_sync=\"local\")"
    ]
   },
   {
@@ -3346,7 +3337,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/docs/encoders/huggingface.ipynb b/docs/encoders/huggingface.ipynb
index cd553a75..413a75f4 100644
--- a/docs/encoders/huggingface.ipynb
+++ b/docs/encoders/huggingface.ipynb
@@ -41,7 +41,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install -qU \"semantic-router[local]==0.0.20\""
+    "!pip install -qU \"semantic-router[local]==0.1.0\""
    ]
   },
   {
@@ -570,9 +570,9 @@
     }
    ],
    "source": [
-    "from semantic_router.layer import RouteLayer\n",
+    "from semantic_router.routers import SemanticRouter\n",
     "\n",
-    "rl = RouteLayer(encoder=encoder, routes=routes)"
+    "rl = SemanticRouter(encoder=encoder, routes=routes, auto_sync=\"local\")"
    ]
   },
   {
@@ -817,7 +817,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/docs/encoders/openai-embed-3.ipynb b/docs/encoders/openai-embed-3.ipynb
index 6eaf92fb..b9b953aa 100644
--- a/docs/encoders/openai-embed-3.ipynb
+++ b/docs/encoders/openai-embed-3.ipynb
@@ -41,7 +41,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install -qU semantic-router==0.0.20"
+    "!pip install -qU semantic-router==0.1.0"
    ]
   },
   {
@@ -53,18 +53,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/jamesbriggs/opt/anaconda3/envs/decision-layer/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",
-      "  from .autonotebook import tqdm as notebook_tqdm\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from semantic_router import Route\n",
     "\n",
@@ -90,7 +81,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -117,7 +108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -143,21 +134,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-01-28 12:40:08 INFO semantic_router.utils.logger Initializing RouteLayer\u001b[0m\n"
+      "2025-01-07 12:31:20 - semantic_router.utils.logger - WARNING - base.py:356 - _get_index() - No index provided. Using default LocalIndex.\n",
+      "2025-01-07 12:31:20 - httpx - INFO - _client.py:1025 - _send_single_request() - HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+      "2025-01-07 12:31:21 - httpx - INFO - _client.py:1025 - _send_single_request() - HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+      "2025-01-07 12:31:21 - semantic_router.utils.logger - WARNING - local.py:148 - _write_config() - No config is written for LocalIndex.\n"
      ]
     }
    ],
    "source": [
-    "from semantic_router.layer import RouteLayer\n",
+    "from semantic_router.routers import SemanticRouter\n",
     "\n",
-    "rl = RouteLayer(encoder=encoder, routes=routes)"
+    "rl = SemanticRouter(encoder=encoder, routes=routes, auto_sync=\"local\")"
    ]
   },
   {
@@ -169,22 +163,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(11, 256)"
+       "256"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "rl.index.shape"
+    "rl.index.dimensions"
    ]
   },
   {
@@ -196,16 +190,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-01-07 12:32:01 - httpx - INFO - _client.py:1025 - _send_single_request() - HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
-       "RouteChoice(name='politics', function_call=None, similarity_score=None, trigger=None)"
+       "RouteChoice(name='politics', function_call=None, similarity_score=None)"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -216,16 +217,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-01-07 12:32:05 - httpx - INFO - _client.py:1025 - _send_single_request() - HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
-       "RouteChoice(name='chitchat', function_call=None, similarity_score=None, trigger=None)"
+       "RouteChoice(name='chitchat', function_call=None, similarity_score=None)"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -243,16 +251,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-01-07 12:32:08 - httpx - INFO - _client.py:1025 - _send_single_request() - HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
-       "RouteChoice(name=None, function_call=None, similarity_score=None, trigger=None)"
+       "RouteChoice(name=None, function_call=None, similarity_score=None)"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -292,7 +307,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,