aws-samples/aws-genai-llm-chatbot
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
Implements enterprise RAG with multi-source document ingestion and vector storage via Amazon OpenSearch, enabling context-aware responses across custom data sources. Built on AWS CDK with automated infrastructure-as-code deployment, it combines Amazon Cognito authentication, Lambda serverless processing, and API Gateway for secure API access alongside a React web UI. Supports both managed models (Bedrock, SageMaker) and external endpoints through Nexus Gateway integration, with built-in conversation persistence, token usage tracking, and audit logging for production compliance.
1,376 stars. Actively maintained with 1 commit in the last 30 days.
Stars
1,376
Forks
432
Language
TypeScript
License
MIT-0
Category
Last pushed
Mar 06, 2026
Commits (30d)
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/aws-samples/aws-genai-llm-chatbot"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
Aquiles-ai/Aquiles-RAG
Is a high-performance Augmented Recovery-Generation (RAG) solution based on Redis, Qdrant or...
tavily-ai/crawl2rag
Crawl any website with Tavily, embed the content, and deploy the RAG on MongoDB Atlas vector search.
neondatabase/pgrag
Postgres extensions to support end-to-end Retrieval-Augmented Generation (RAG) pipelines
mabuonomo/ollama-rag-nodejs
This is a simple example of how to use the Ollama RAG (retrieval augmented generation) using...