langchain/docs/modules/models/text_embedding/examples/amazon_bedrock.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": "75e378f5-55d7-44b6-8e2e-6d7b8b171ec4",
"metadata": {},
"source": [
"# Amazon Bedrock\n",
"\n",
">[Amazon Bedrock](https://aws.amazon.com/bedrock/) is a fully managed service that makes FMs from leading AI startups and Amazon available via an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2dbe40fa-7c0b-4bcb-a712-230bf613a42f",
"metadata": {},
"outputs": [],
"source": [
"%pip install boto3"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "282239c8-e03a-4abc-86c1-ca6120231a20",
"metadata": {},
"outputs": [],
"source": [
"from langchain.embeddings import BedrockEmbeddings\n",
"\n",
"embeddings = BedrockEmbeddings(credentials_profile_name=\"bedrock-admin\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "19a46868-4bed-40cd-89ca-9813fbfda9cb",
"metadata": {},
"outputs": [],
"source": [
"embeddings.embed_query(\"This is a content of the document\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cf0349c4-6408-4342-8691-69276a388784",
"metadata": {},
"outputs": [],
"source": [
"embeddings.embed_documents([\"This is a content of the document\"])"
]
}
],
"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"
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},
"nbformat": 4,
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}