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# Bedrock LLM and Embeddings This PR adds a new LLM and an Embeddings class for the [Bedrock](https://aws.amazon.com/bedrock) service. The PR also includes example notebooks for using the LLM class in a conversation chain and embeddings usage in creating an embedding for a query and document. **Note**: AWS is doing a private release of the Bedrock service on 05/31/2023; users need to request access and added to an allowlist in order to start using the Bedrock models and embeddings. Please use the [Bedrock Home Page](https://aws.amazon.com/bedrock) to request access and to learn more about the models available in Bedrock. <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 -->
76 lines
1.6 KiB
Plaintext
76 lines
1.6 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 Embeddings"
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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": null,
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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(credentials_profile_name=\"bedrock-admin\")"
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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\"])"
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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": "3.10.11"
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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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