diff --git a/docs/encoders/fastembed.ipynb b/docs/encoders/fastembed.ipynb
index 3134141e12c32f036865ec0642fb1b64156540a1..800d0e84f975d238b09f995899112a0be1780872 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 38da5ea1b1a40408e96d970365da1e6770c07ec1..2dcc8587dadf53d3d46672cd1fb1436d02a45e35 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 c5714142e5b204f7c88740aeccebe92db1cdf042..30b45ee460614071ba856316b239c5a07e9258af 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 cd553a75d261fee9a2327045c898e03e99351dbf..413a75f4ad38e441fe0983ad8d5d7516c5ed45e5 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 6eaf92fbb7d162ec630ab2b44164073c247aa59f..b9b953aafbf697fb14cc06d6a0cf0b0ae241d7ea 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,