aws-samples

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models. Maintained by aws-samples on GitHub, where it has earned 1,484 stars from the community.

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. Maintained by aws-samples on GitHub, where it has earned 1,401 stars from the community.

Application implementation with business use cases for safely utilizing generative AI in business operations. Maintained by aws-samples on GitHub, where it has earned 1,381 stars from the community.

AWS-native chatbot using Bedrock. Maintained by aws-samples on GitHub, where it has earned 1,323 stars from the community.

A lightning-fast, cross-platform mobile AI Assistant App built with React Native. Maintained by aws-samples on GitHub, where it has earned 849 stars from the community.

Sample Amazon Lex chat bot web interface. Maintained by aws-samples on GitHub, where it has earned 817 stars from the community.

Chat application using AWS IoT platform via MQTT over the WebSocket protocol. Maintained by aws-samples on GitHub, where it has earned 567 stars from the community.

Passwordless authentication with Amazon Cognito: FIDO2 (WebAuthn, support for Passkeys), Magic Link, SMS OTP Step Up. Maintained by aws-samples on GitHub, where it has earned 441 stars from the community.

Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks. Maintained by aws-samples on GitHub, where it has earned 262 stars from the community.

This is a Next.js starter for building a fullstack app with AWS Amplify. Maintained by aws-samples on GitHub, where it has earned 234 stars from the community.

Full stack webapp kit to leverage the power of serverless!. Maintained by aws-samples on GitHub, where it has earned 229 stars from the community.

Self-host Dify on AWS. Maintained by aws-samples on GitHub, where it has earned 191 stars from the community.

This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs. Maintained by aws-samples on GitHub, where it has earned 173 stars from the community.

Use LLMs for building real-world apps. Maintained by aws-samples on GitHub, where it has earned 113 stars from the community.

Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services. Maintained by aws-samples on GitHub, where it has earned 104 stars from the community.

Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS). Maintained by aws-samples on GitHub, where it has earned 100 stars from the community.

A comprehensive toolkit for deploying production-ready Generative AI infrastructure on Amazon EKS. Includes pre-configured components for: AI Gateway (LiteLLM) LLM Serving (vLLM, SGLang, Ollama) Vector Databases, Embedding Models (TEI) Observability (Langfuse, Phoenix) etc. Fast-track your GenAI deployment with Kubernetes. Maintained by aws-samples on GitHub, where it has earned 91 stars from the community.

Self-hosting Langfuse on Amazon ECS with Fargate using CDK Python. Maintained by aws-samples on GitHub, where it has earned 78 stars from the community.

Opinionated sample on how to build and deploy a RAG application with Amazon Bedrock and OpenSearch. Maintained by aws-samples on GitHub, where it has earned 59 stars from the community.

This repository features three demos that can be effortlessly integrated into your AWS environment. They serve as a practical guide to leveraging AWS services for crafting a sophisticated Large Language Model (LLM) Generative AI, geared towards creating a responsive Question and Answer Bot and localizing content generation. Maintained by aws-samples on GitHub, where it has earned 46 stars from the community.

This repository contains the code and infrastructure as code for a Generative AI-powered Request for Proposal (RFP) Assistant leveraging Amazon Bedrock and AWS Cloud Development Kit (CDK). Maintained by aws-samples on GitHub, where it has earned 37 stars from the community.

Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service. Maintained by aws-samples on GitHub, where it has earned 31 stars from the community.

This GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 model. It features intelligent routing to relevant functions, database querying, semantic searches, Lambda function executions, and specialized interactions. Maintained by aws-samples on GitHub, where it has earned 30 stars from the community.

Ollama on GPU EC2 instance with Open WebUI web interface and Bedrock access. Maintained by aws-samples on GitHub, where it has earned 29 stars from the community.

Provision Apache or Nginx web server EC2 instance with PHP and MySQL, MariaDB or PostgreSQL. Includes WordPress and Moodle install option. Maintained by aws-samples on GitHub, where it has earned 26 stars from the community.

How to build an advanced RAG router based assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedrock. Maintained by aws-samples on GitHub, where it has earned 22 stars from the community.

A pipeline to convert contextual knowledge stored in documents and databases into text embeddings, and store them in a vector store. Maintained by aws-samples on GitHub, where it has earned 21 stars from the community.