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

☁️ A friendly guide to AWS Cloud fundamentals, with clear explanations, visuals, and practical examples for all audiences.

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.

An Amazon Kendra REST API CDK example with an API Gateway, including authentication with AWS Cognito and AWS X-Ray Tracing

This app is a RAG (Retrieval Augmented Generation) chatbot that uses Amazon Q and Slack as it interface. It also provides a CloudFront links whenever it provides a source.

It shows a question/answering chatbot using Amazon Bedrock with RAG based on Amazon Kendra.

BedrockChat acts as a conversational interface, leveraging generative AI models fine-tuned on your content.

GenAI demo with Amazon Kendra, 🦜️🔗 LangChain and Amazon SageMaker JumpStart

Your personal assistant at work

Use Python to call aws related services in lambda.

A Demo of Retrieval Augmented Generation with Amazon Titan, Bedrock, Kendra, and LangChain

Amazon Web Services

AWS Kendra ChatBot Demo

Technology Review