# Create an Amazon Lex chatbot to engage your website visitors
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The following code examples show how to create a chatbot to engage your website visitors.

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#### [ Java ]

**SDK for Java 2.x**  
 Shows how to use the Amazon Lex API to create a Chatbot within a web application to engage your web site visitors.   
 For complete source code and instructions on how to set up and run, see the full example on [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/usecases/creating_lex_chatbot).   

**Services used in this example**
+ Amazon Comprehend
+ Amazon Lex
+ Amazon Translate

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#### [ JavaScript ]

**SDK for JavaScript (v3)**  
 Shows how to use the Amazon Lex API to create a Chatbot within a web application to engage your web site visitors.   
 For complete source code and instructions on how to set up and run, see the full example [Building an Amazon Lex chatbot](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/lex-bot-example.html) in the AWS SDK for JavaScript developer guide.   

**Services used in this example**
+ Amazon Comprehend
+ Amazon Lex
+ Amazon Translate

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For a complete list of AWS SDK developer guides and code examples, see [Using Amazon Comprehend with an AWS SDK](sdk-general-information-section.md). This topic also includes information about getting started and details about previous SDK versions.

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Amazon Comprehend. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query comprehend` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).