This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

AWS-native chatbot using Bedrock

High-performance, resource-efficient Minecraft Java + Bedrock reverse proxy and library with multi-version support. Scalable Velocity/BungeeCord alternative, suitable for both development and large-scale deployments. Proven in production environments, powering our global Connect edge proxy network.

🚀 AI-powered code review tool for GitHub, GitLab, Bitbucket Cloud, Bitbucket Server, Azure DevOps and Gitea — built with LLMs like OpenAI, Claude, Gemini, Ollama, Bedrock, OpenRouter and Azure OpenAI

Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in AI. The solution includes integrations with Amazon Bedrock and its included LLMs, such as Amazon Titan, and pre-built connectors for 3rd-party LLMs.

Uncovering Hidden Connections in Unstructured Financial Data using Amazon Bedrock and Amazon Neptune

Curated collection of 39 agent skills for healthcare and life sciences workflows, installable via the Agent Skills standard.

Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph.

Researcher Agent to write blog posts/ articles using Amazon Bedrock and websearch.

Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)