mirror of
https://github.com/hwchase17/langchain
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fdba711d28
Updated `integrations/embeddings`: fixed titles; added links, descriptions Updated `integrations/providers`.
102 lines
2.4 KiB
Plaintext
102 lines
2.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "75e378f5-55d7-44b6-8e2e-6d7b8b171ec4",
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"metadata": {},
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"source": [
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"# Bedrock\n",
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"\n",
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">[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"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2dbe40fa-7c0b-4bcb-a712-230bf613a42f",
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install boto3"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "282239c8-e03a-4abc-86c1-ca6120231a20",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.embeddings import BedrockEmbeddings\n",
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"\n",
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"embeddings = BedrockEmbeddings(\n",
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" credentials_profile_name=\"bedrock-admin\", region_name=\"us-east-1\"\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "19a46868-4bed-40cd-89ca-9813fbfda9cb",
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"metadata": {},
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"outputs": [],
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"source": [
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"embeddings.embed_query(\"This is a content of the document\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "cf0349c4-6408-4342-8691-69276a388784",
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"metadata": {},
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"outputs": [],
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"source": [
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"embeddings.embed_documents([\"This is a content of the document\", \"This is another document\"])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "9f6b364d",
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"metadata": {},
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"outputs": [],
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"source": [
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"# async embed query\n",
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"await embeddings.aembed_query(\"This is a content of the document\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c9240a5a",
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"metadata": {},
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"outputs": [],
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"source": [
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"# async embed documents\n",
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"await embeddings.aembed_documents([\"This is a content of the document\", \"This is another document\"])"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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