openai-cookbook/examples/Get_embeddings.ipynb

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{
"cells": [
{
"cell_type": "markdown",
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"source": [
"## Get embeddings\n",
"\n",
"The function `get_embedding` will give us an embedding for an input text."
]
},
{
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"metadata": {},
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"text/plain": [
"1536"
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]
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}
],
"source": [
"import openai\n",
"\n",
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"embedding = openai.Embedding.create(\n",
" input=\"Your text goes here\", model=\"text-embedding-ada-002\"\n",
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")[\"data\"][0][\"embedding\"]\n",
"len(embedding)\n"
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]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1536\n"
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]
}
],
"source": [
"import openai\n",
"from tenacity import retry, wait_random_exponential, stop_after_attempt\n",
"\n",
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"\n",
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"@retry(wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))\n",
"def get_embedding(text: str, model=\"text-embedding-ada-002\") -> list[float]:\n",
" return openai.Embedding.create(input=[text], model=model)[\"data\"][0][\"embedding\"]\n",
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"\n",
"\n",
"embedding = get_embedding(\"Your text goes here\", model=\"text-embedding-ada-002\")\n",
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"print(len(embedding))\n"
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]
}
],
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"display_name": "Python 3.9.9 ('openai')",
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"name": "python3"
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"version": "3.9.9"
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