Artificial Intelligence
Prepare web content for Amazon Bedrock Knowledge Bases with Crawl4AI
According to AWS. Learn how to extend Amazon Bedrock Knowledge Bases using Crawl4AI, an open source Python crawler, for custom web content ingestion.
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KEY TAKEAWAYS
- • Amazon Bedrock Knowledge Bases provides fully managed RAG capabilities.
- • Crawl4AI extends ingestion by writing Markdown and metadata sidecars to Amazon S3.
- • The workflow supports structured Markdown preparation and targeted CSS extraction.
Solution Overview
Amazon Bedrock Knowledge Bases manages ingestion, storage, indexing, and retrieval for Retrieval Augmented Generation applications. While the Amazon Bedrock Web Crawler serves as the starting point for standard public website content, sources requiring custom metadata or removal of boilerplate can utilize Crawl4AI.
Workflow Execution
An AWS CDK application packages the implementation into a container image. Amazon EventBridge triggers an Amazon ECS task on AWS Fargate to crawl public websites, prepare Markdown files with metadata sidecars, upload them to Amazon S3, and initiate a knowledge base ingestion job.
SOURCES & METHODOLOGY
- 1. aws.amazon.comOpen source