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Here is a potential SEO-friendly title based on the contents of the Index website using the Amazon Q Web Crawler connector for Amazon Q Business: “Unlock Efficient Business Operations with Amazon Q Business Solutions: Streamline Your Workflow and Increase Productivity” This title incorporates relevant keywords from the Index website, including “Amazon Q Business”, “business operations”, “workflow”, and “productivity”, making it more likely to rank in Google search results.

Here is the rewritten article:

Introduction

Amazon Q Business is a groundbreaking service that enables you to build interactive chat applications using your enterprise data. With Amazon Q Business, you can create applications that generate answers based on your data or a large language model (LLM) knowledge. The best part is that your data is not used for training purposes, and the answers provided by Amazon Q Business are based solely on the data users have access to.

Overview of Amazon Q Web Crawler Connector

The Amazon Q Web Crawler connector is a fully managed service that makes it possible to crawl websites that use HTTPS and index their contents, allowing you to build a generative artificial intelligence (AI) experience for your users based on the indexed data. This connector relies on the Selenium Web Crawler Package and a Chromium driver. The connector is fully managed and updates to these components are applied automatically without your intervention.

The Amazon Q Web Crawler connector crawls and indexes the contents of webpages and attachments. Amazon Q Business supports multiple connectors, and each connector has its own properties and entities that it considers documents. In the context of the Web Crawler connector, a document refers to a single page or attachment contents. Separately, an index is commonly referred to as a corpus of documents; think of it as the place where you add and sync your documents for Amazon Q Business to use for generating answers to user requests.Each document has its own attributes, also known as metadata. Metadata can be mapped to fields in your Amazon Q Business index. By creating index fields, you can boost results based on document attributes. For example, there might be use cases where you want to give more relevance to results from a specific category, department, or creation date.

Web Crawler Configuration

When configuring the data source for your website, you can use URLs or sitemaps, which can be defined either manually or using a text file stored in Amazon S3. To enforce secure access to protected websites, the Amazon Q Web Crawler supports the following authentication types and standards:

  • Basic authentication
  • NTLM/Kerberos authentication
  • Form-based authentication
  • SAML authentication

Cleaning Up

After you finish testing the solution and to avoid incurring in extra costs, clean up the resources you created as part of this solution. Let’s start by deleting the Amazon Q Business application:

  1. On the Amazon Q Business console, select your application from the application list and on the Actions menu, choose Delete.

Frequently Asked Questions

Q: What is Amazon Q Business?

Amazon Q Business is a fully managed service that lets you build interactive chat applications using your enterprise data.

Q: What are the benefits of using Amazon Q Business?

Amazon Q Business provides a way to build interactive chat applications using your enterprise data, without using your data for training purposes, and with answers based solely on the data users have access to.

Q: How does the Amazon Q Web Crawler connector work?

The Amazon Q Web Crawler connector is a fully managed service that makes it possible to crawl websites that use HTTPS and index their contents, allowing you to build a generative artificial intelligence (AI) experience for your users based on the indexed data.

Q: Can I use multiple connectors with Amazon Q Business?

Yes, Amazon Q Business supports multiple connectors, and each connector has its own properties and entities that it considers documents.

Q: How do I clean up after finishing testing the solution?

After you finish testing the solution, you should clean up the resources you created as part of this solution, including deleting the Amazon Q Business application, CloudFormation stack, and IAM Identity Center instance (if enabled).

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