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langchain/docs/modules/models/text_embedding/examples/bedrock.ipynb

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{
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{
"cell_type": "markdown",
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"source": [
"# Bedrock Embeddings"
]
},
{
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"execution_count": null,
"id": "2dbe40fa-7c0b-4bcb-a712-230bf613a42f",
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"source": [
"%pip install boto3"
]
},
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"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\"])"
]
}
],
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"display_name": "Python 3 (ipykernel)",
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