#100 · Primary category: AI Chatbots

aws-genai-llm-chatbot

amazon-bedrock aurora aws bedrock cdk chatbot claude genai huggingface idefics kendra langchain llm opensearch opensearch-serverless pgvector sagemaker semantic-search vectordb

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

Project last updated:06/30/26

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Why we included this project

AWS teams that would rather adapt a proven chatbot blueprint than assemble one from scratch will find this useful. It packages the whole stack, from model access and retrieval to authentication and a React interface, as an AWS CDK deployment, so you can spin up a RAG-capable assistant in your own account and then change what you need. Supporting several model providers at once is a real convenience, since you can test Claude and Llama models on Bedrock side by side before committing to one vendor. The repository also ships with architecture and deployment documentation, which makes it a decent way to learn how a production LLM chatbot on AWS is usually put together.

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