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Added AWS-Bedrock LLM setup section #197

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32 changes: 28 additions & 4 deletions en/integrations/langchain/llms/aws-bedrock.md
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Expand Up @@ -4,8 +4,32 @@ description: Wrapper around AWS Bedrock large language models.

# AWS Bedrock

<figure><img src="../../../.gitbook/assets/image (2) (5).png" alt="" width="275"><figcaption><p>AWS Bedrock Node</p></figcaption></figure>

{% hint style="info" %}
This section is a work in progress. We appreciate any help you can provide in completing this section. Please check our [Contribution Guide](/broken/pages/G48tdmpQ3z4CTWEspqkA) to get started.
{% endhint %}
AWS Bedrock Large Language Model provides access to Amazon Bedrock's Foundational Models and managed service for generative AI apps.
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The introductory sentence could be clearer about the relationship between the Flowise node and the AWS service. Rephrasing it will improve readability for users.

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AWS Bedrock Large Language Model provides access to Amazon Bedrock's Foundational Models and managed service for generative AI apps.
The **AWS Bedrock LLM** node integrates with Amazon Bedrock, a managed service that provides access to foundation models for building generative AI applications.


To use AWS Bedrock in Flowise, add the **AWS Bedrock LLM** node to your Chatflow.

# Setup

1. Configure AWS credentials for Flowise.

In Amazon Bedrock, ensure that your account has access to the model you want to use with Flowise.

2. Add the AWS Bedrock node to your Chatflow.

In the Flowise canvas, drag and drop the AWS Bedrock LLM node into your Chatflow.

3. Configure the AWS Bedrock inputs:
<figure><img src="../../../.gitbook/assets/image (2) (5).png" alt="" width="275"><figcaption><p>AWS Bedrock Node</p></figcaption></figure>
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There is a trailing whitespace at the end of this line. It should be removed for cleaner markdown.

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<figure><img src="../../../.gitbook/assets/image (2) (5).png" alt="" width="275"><figcaption><p>AWS Bedrock Node</p></figcaption></figure>
<figure><img src="../../../.gitbook/assets/image (2) (5).png" alt="" width="275"><figcaption><p>AWS Bedrock Node</p></figcaption></figure>


* AWS Credential: The AWS credential with your AWS access key. Select or create a new AWS credential. Ensure that your AWS credentials or IAM role has access to AWS Bedrock models and other required AWS services in your Chatflow.
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The description for AWS Credential is a bit verbose. It could be more concise and provide more specific guidance on the required IAM permissions, which would be very helpful for users setting this up for the first time.

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* AWS Credential: The AWS credential with your AWS access key. Select or create a new AWS credential. Ensure that your AWS credentials or IAM role has access to AWS Bedrock models and other required AWS services in your Chatflow.
* AWS Credential: Select an existing AWS credential or create a new one. The associated IAM user or role must have permissions for `bedrock:InvokeModel` and any other required AWS services in your Chatflow.

* Region: The region where your AWS Bedrock resources are located. Ensure that you select the region where your AWS Bedrock models and resources are deployed.
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The description for Region is redundant. The second sentence repeats the information from the first. It can be simplified for better readability.

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* Region: The region where your AWS Bedrock resources are located. Ensure that you select the region where your AWS Bedrock models and resources are deployed.
* Region: The AWS region where your Bedrock models are available.

* Model Name: The AWS Bedrock foundational model for your conversational AI.

4. Connect the AWS Bedrock node in your Chatflow.

After you add other Chatflow components (such as input nodes, output nodes, memory nodes), connect the AWS Bedrock LLM node to the appropriate components to create the Chatflow.

For information about deploying Flowise on AWS, see [AWS](../../../configuration/deployment/aws.md).
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There are two trailing spaces at the end of the line. While this can create a hard line break in some markdown parsers, it's unnecessary here given the blank lines that follow. It's best to remove them for cleaner code.

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For information about deploying Flowise on AWS, see [AWS](../../../configuration/deployment/aws.md).
For information about deploying Flowise on AWS, see [AWS](../../../configuration/deployment/aws.md).