Artificial Intelligence Infrastructure-as-Code Generator.

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

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

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

Welcome to the AWS First Generative AI Journey repository! This project serves as a comprehensive resource for individuals and organizations looking to explore the transformative capabilities of Generative AI using Amazon Web Services (AWS).

LLM-powered document chat using Amazon Bedrock and AWS Serverless

Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databases, use RAG techniques, and showcase experiments with langchain and streamlit.

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

Creating Amazon Bedrock agents with Streamlit Framework

This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.

This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.

Complete example of how to build an Agentic RAG architecture with Redis, AWS Bedrock, and LlamaIndex.

Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain

Learn how to Quickly build Generative AI applications with Amazon Bedrock

Learn how to quickly build Agents with Amazon Bedrock

Personalized nutritional app, serverless, tailored to your shopping and cooking needs, empowered by generative AI technology (Amazon Bedrock, Anthropic, Claude Haiku, Claude Sonnet) using AWS CDK on AWS

Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.

Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services.

A Python framework for multi-modal document understanding with Amazon Bedrock

Learn how to build generative AI applications on AWS using PartyRock, Amazon Bedrock, and Amazon Q