amazon-bedrock-agent-samples and sample-document-processing-with-amazon-bedrock-data-automation

Tool A provides example notebooks and scripts for using Amazon Bedrock Agents, while Tool B offers samples specifically for document processing with Amazon Bedrock Data Automation, making them complements for different aspects of Bedrock application development.

Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 6/25
Adoption 7/25
Maturity 9/25
Community 19/25
Stars: 789
Forks: 266
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 28
Forks: 21
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT-0
No Package No Dependents
No Package No Dependents

About amazon-bedrock-agent-samples

awslabs/amazon-bedrock-agent-samples

Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities

Covers multi-agent orchestration with supervisor-mode routing and intent classification, plus single-agent patterns including code interpretation, knowledge base integration, and guardrails. Uses boto3 SDK to build agentic workflows with reusable Action Group tools (web search, working memory, stock data), supports runtime inline agent configuration, and integrates with AWS services like CloudFormation and Bedrock Knowledge Bases.

About sample-document-processing-with-amazon-bedrock-data-automation

aws-samples/sample-document-processing-with-amazon-bedrock-data-automation

This repository contains examples for customers to get started using Amazon Bedrock Data Automation. The samples focus mainly on document processing use cases

Scores updated daily from GitHub, PyPI, and npm data. How scores work