#大语言模型#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.
#大语言模型#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 Langua...
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.
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.
