Replaces fragmented documentation with a comprehensive collection of implementation patterns for Amazon Bedrock foundational models. It provides executable Jupyter notebooks for RAG, fine-tuning, and multi-modal agent deployment.
Tech Stack
Jupyter NotebookAI, ML & Data
Why amazon-bedrock-samples?
• Ready-to-run boilerplate
• Covers all Bedrock models
• Official AWS best practices
Limitations
• AWS account required
• High cost of some models
• Complex IAM configuration
3/5/2026
Last Update
664
Forks
117
Issues
MIT-0
License
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