🏗️ Serverless Chat Application – Deployment Architecture

This repository showcases the deployment architecture and infrastructure setup for a serverless AI-powered chat application, leveraging AWS services, Amazon Bedrock, and OpenAI LLMs for intelligent conversational experiences.
The design prioritizes scalability, low latency, and minimal operational overhead using a fully managed cloud-native approach.

Architecture Overview

The architecture consists of the following components:

Frontend – S3 + CloudFront

• A static web application hosted in Amazon S3
• Distributed globally through Amazon CloudFront for high performance, caching, and SSL-secured access.

API Gateway

• Serves as the entry point for all client requests.
• Manages routing, authentication, and rate-limiting to backend services.

AWS Lambda – Business Logic Layer

• Contains the core logic for handling chat interactions.
• Processes user input, integrates with both OpenAI and Bedrock models, and manages responses.
• Implements lightweight orchestration and memory handling.

LLM Engines – Bedrock & OpenAI

• Amazon Bedrock: Provides access to foundational models for enterprise-grade AI.
• OpenAI LLM (e.g., GPT-4): Enhances conversational capabilities with advanced natural-language understanding and reasoning.
• Lambda dynamically routes requests to the most appropriate model based on context or configuration.

S3 Storage – Memory Layer

• Stores conversation history and session metadata for persistence.
• Enables contextual continuity across chat sessions.