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

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

Sample code for features of Agents for Amazon Bedrock

How to build a simplified Corrective RAG assistant with Amazon Bedrock using LLMs, Embeddings model, Knowledge Bases for Amazon Bedrock, and Agents for Amazon Bedrock.

This repository contains sample code demonstrating how to implement a verified semantic cache using Amazon Bedrock Knowledge Bases to prevent hallucinations in Large Language Model (LLM) responses while improving latency and reducing costs.

AWS Summit 2024 Jakarta --- ObservabilityAI: Memanfaatkan Amazon Bedrock Untuk Memantau Kinerja RESTful API Golang

How to build a backup assistant using AI agents on Amazon Bedrock.

This notebook demonstrates how to create an intelligent document processing (IDP) solution using Amazon Bedrock Data Automation (BDA) with Amazon Bedrock AgentCore Runtime. Instead of traditional Bedrock Agents, we'll deploy a Strands Agent through AgentCore, providing enterprise-grade capabilities with framework flexibility.

Amazon Bedrock - Multi-Agent Orchestration Workshop

Sample console app demonstrating Amazon Bedrock SDK integration with Microsoft Semantic Kernel for standard and streaming chat.