Prepare Web Content for Amazon Bedrock Knowledge Bases with Crawl4AI

What happened

AWS shows how to use Crawl4AI, an open source Python crawler, to prepare web content for Amazon Bedrock Knowledge Bases when the managed Web Crawler connector isn't enough. The preparation step writes Markdown and a metadata sidecar per page to Amazon S3, which the knowledge base ingests through its S3 data source. The post covers choosing an ingestion path, custom extraction and metadata, and validating retrieval quality, with a companion aws-samples repository.

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The story so far

AWS published a guide for using Crawl4AI, an open source Python crawler, to prepare web content for Amazon Bedrock Knowledge Bases when the managed Web Crawler connector is not sufficient. In the described workflow, the preparation step writes Markdown and a metadata sidecar for each page to Amazon S3, and the knowledge base then ingests that content through its S3 data source. The guide covers choosing an ingestion path, custom extraction and metadata, and validating retrieval quality. A companion aws-samples repository accompanies the post.