Integrate web scraping in Knowledge Bases for Amazon Bedrock | AWS Machine Learning Blog

Overview of Amazon Bedrock

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Knowledge Bases in Amazon Bedrock

Knowledge Bases for Amazon Bedrock enables you to aggregate data sources into a repository of information. This feature allows you to efficiently crawl and index websites, so your knowledge base includes diverse and relevant information from the web.

Web Crawling Functionality

Customers using Knowledge Bases for Amazon Bedrock want to extend the capability to crawl and index their public-facing websites. By integrating web crawlers into the knowledge base, you can gather and utilize web data efficiently.

Setting Up a Web Crawler

When setting up a knowledge base with web crawl functionality, you can control the maximum crawl rate and refine the scope of URLs to crawl using inclusion and exclusion filters.

Implementing a Web Crawler

Complete the steps to implement a web crawler in your knowledge base using Include patterns and Host only sync scope or the default sync scope. You can further use the Quick create vector store option when creating the knowledge base.

Testing and Monitoring

After setting up the web crawler, you can test the knowledge base and monitor the ongoing web crawl in your Amazon CloudWatch logs.

Conclusion

Amazon Bedrock provides the infrastructure to enhance the accuracy and effectiveness of generative AI applications by crawling and indexing web data. To get started using Knowledge Bases for Amazon Bedrock, refer to Create a knowledge base.

(Note: The images referenced in the original article are not included here.)


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