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COMPANY · ENTITY #4789

AWS Fargate

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CODING · 1 SOURCE · AWS Machine Learning

Amazon outlines Crawl4AI workflow to prepare web content for Bedrock Knowledge Bases

AWS published a how‑to showing a sample workflow that uses the open‑source Crawl4AI crawler to generate Markdown plus metadata sidecars uploaded to Amazon S3 for ingestion by Amazon Bedrock Knowledge Bases. The post explains when to use the built‑in Bedrock Web Crawler versus Crawl4AI for targeted extraction, custom metadata, and boilerplate pruning, and links an aws‑samples repo with the implementation using EventBridge, ECS/Fargate, and S3.

6.0

CODING · 1 SOURCE · AWS Machine Learning

AWS open-sources Deep Insight, a production multi-agent system using Amazon Bedrock AgentCore

The AWS Solutions Architecture team published Deep Insight, an open-source, production-grade multi-agent system and a three-part blog series detailing its architecture, Context Engineering practices, and deployment. Deep Insight (GitHub) includes self-hosted, web, and a managed AgentCore deployment that runs agents in isolated per-user environments inside a private VPC with a Code Interpreter on AWS Fargate.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

AWS shows how to migrate multi-model Hugging Face smolagents to Amazon Bedrock AgentCore runtime

AWS published a how-to that migrates a multi-model healthcare AI agent built with Hugging Face smolagents from a self-managed Amazon ECS/Fargate deployment to the managed Amazon Bedrock AgentCore runtime. The solution preserves existing agent logic while offloading container lifecycle, scaling, identity, and observability to AgentCore and demonstrates orchestration across Llama 3.1 70B Instruct on Bedrock, BioM-ELECTRA-Large-SQuAD2 on SageMaker (and containerized), plus vector retrieval via Amazon OpenSearch Service.

6.0