Agentic engineering intelligence with Amazon Nova Multimodal Embeddings and Amazon Bedrock AgentCore

OfficialAWS Machine Learning

Prepare web content for Amazon Bedrock Knowledge Bases with Crawl4AI

This post shows how to use Crawl4AI, an open source web crawler, as a content preparation layer for Amazon Bedrock Knowledge Bases, handling JavaScript rendering, selective extraction, and custom metadata enrichment before web content reaches an Amazon S3 data source.

• Repounclecode/crawl4ai
• Repoaws-samples/sample-crawl4ai-bedrock-knowledge-base
• Repoaws-samples/amazon-bedrock-samples

OfficialAWS Machine Learning

Build efficient agents with knowledge distillation on Amazon SageMaker AI

Agentic assistants built on frontier models run a multi-step tool loop, and paying frontier prices on every step is hard to sustain at production scale.

• Repoaws/sagemaker-hyperpod-recipes
• Repogoogle-research/google-research

OfficialAWS Machine Learning

How Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock

Circle K's DevOps team cut incident triage from 45-60 minutes to under 15 by building an agentic triage system on Amazon Bedrock. This post walks through the architecture, the initial Amazon Bedrock Flows implementation, the migration to Amazon Bedrock AgentCore, and the lessons learned from scaling it.

OfficialAWS Machine Learning

Managing Amazon Bedrock costs end to end: A playbook for FinOps and platform teams

This post presents a five-stage operating model for managing Amazon Bedrock cost: attribute every dollar to an owner, make every request observable, enforce budgets, optimize platform defaults, and operate a review cadence. Written for FinOps and platform engineering teams.

• Repoaws-solutions-library-samples/guidance-for-claude-code-with-amazon-bedrock
• Repoaws-samples/sample-claude-code-with-litellm-and-bedrock