The Evolution from Proof of Concept (POC) to a Scalable, Production-Ready AWS Product.
The foundation of the HR Chatbot. This architecture details the core interaction flow between the front-end user interfaces, the centralized API gateways, and the underlying AI knowledge engines before scaling up.
The brain of the chatbot. Utilizing the ReAct methodology, queries are intercepted, understood, and dynamically routed to specialized sub-agents. This allows the bot to handle complex HR policies, leave requests, and payroll inquiries with high accuracy.
To support massive enterprise data, a robust offline pipeline was engineered. It automatically ingests, chunks, and maps unstructured HR documentations into high-dimensional vector space for semantic retrieval.
Transitioning from local/on-prem POC to AWS. Leveraging fully managed services and container orchestration to achieve 99.9% uptime, auto-scaling capabilities, and enterprise-grade security within a Virtual Private Cloud (VPC).
An alternative, highly optimized ingestion architecture utilizing serverless cloud functions. Designed for event-driven document processing to minimize idle computing costs and maximize real-time scalability during spikes in data upload.
