langchain/docs/modules/models/text_embedding/examples/azureopenai.ipynb
Leonid Ganeline 92a5f00ffb
docs: ecosystem/integrations update 5 (#5752)
- added missed integration to `docs/ecosystem/integrations/`
- updated notebooks to consistent format: changed titles, file names;
added descriptions

#### Who can review?
 @hwchase17 
 @dev2049
2023-06-05 16:08:55 -07:00

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{
"cells": [
{
"cell_type": "markdown",
"id": "c3852491",
"metadata": {},
"source": [
"# Azure OpenAI\n",
"\n",
"Let's load the OpenAI Embedding class with environment variables set to indicate to use Azure endpoints."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1b40f827",
"metadata": {},
"outputs": [],
"source": [
"# set the environment variables needed for openai package to know to reach out to azure\n",
"import os\n",
"\n",
"os.environ[\"OPENAI_API_TYPE\"] = \"azure\"\n",
"os.environ[\"OPENAI_API_BASE\"] = \"https://<your-endpoint.openai.azure.com/\"\n",
"os.environ[\"OPENAI_API_KEY\"] = \"your AzureOpenAI key\"\n",
"os.environ[\"OPENAI_API_VERSION\"] = \"2023-03-15-preview\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bb36d16c",
"metadata": {},
"outputs": [],
"source": [
"from langchain.embeddings import OpenAIEmbeddings\n",
"\n",
"embeddings = OpenAIEmbeddings(deployment=\"your-embeddings-deployment-name\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "228abcbb",
"metadata": {},
"outputs": [],
"source": [
"text = \"This is a test document.\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "60dd7fad",
"metadata": {},
"outputs": [],
"source": [
"query_result = embeddings.embed_query(text)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "83bc1a72",
"metadata": {},
"outputs": [],
"source": [
"doc_result = embeddings.embed_documents([text])"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "aaad49f8",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
},
"vscode": {
"interpreter": {
"hash": "7377c2ccc78bc62c2683122d48c8cd1fb85a53850a1b1fc29736ed39852c9885"
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}