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AWS GenAI LLM Chatbot is an enterprise-ready reference solution for deploying a secure, feature-rich generative AI chatbot on AWS with retrieval-augmented generation capabilities. The project is built as a modular blueprint that helps organizations stand up a production-oriented chat experience rather than a simple demo, combining model access, knowledge retrieval, storage, security, and user interface components into one deployable system. It supports multiple model providers and endpoints, giving teams flexibility to work with Amazon Bedrock, SageMaker-hosted models, and additional model access patterns through related integrations. A major part of the design is its RAG layer, which enables the chatbot to pull contextual knowledge from connected data sources so responses can be grounded in enterprise content rather than relying only on model memory.
Features
- Multi-LLM support across Amazon Bedrock, SageMaker, and custom model endpoints
- Retrieval-augmented generation with connections to external data sources
- Enterprise security features including access controls, encryption, and audit logging
- Persistent conversation history and memory storage
- React-based web interface plus API access for integrations
- AWS CDK deployment model for repeatable infrastructure provisioning
Project Samples
