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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 help you easily comprehend AWS Cloud concepts, designed for beginners and intermediate users with clear explanations, illustrations, and practical examples.
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
It shows a question/answering chatbot using Amazon Bedrock with RAG based on Amazon Kendra.
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.
GenAI demo with Amazon Kendra, 🦜️🔗 LangChain and Amazon SageMaker JumpStart
BedrockChat acts as a conversational interface, leveraging generative AI models fine-tuned on your content.
A Demo of Retrieval Augmented Generation with Amazon Titan, Bedrock, Kendra, and LangChain
Use Python to call aws related services in lambda.
AWS Kendra ChatBot Demo
