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) using AWS CDK on AWS

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

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

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.

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

Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain

Learn how to Quickly build Generative AI applications with Amazon Bedrock

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

Creating Amazon Bedrock agents with Streamlit Framework

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

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.

Learn how to quickly build Agents with Amazon Bedrock

Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)

.NET FM Playground is a .NET MAUI Blazor sample application showcasing how to leverage Amazon Bedrock from C# code. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API.

Explore how you can use Amazon Bedrock with Python in a dynamic environment! It includes a FastAPI app and a Next.js frontend, perfect for learning and experimentation with generative AI on AWS.

Learn to build custom prompts and tools for LangChain agents

'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker

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