From Cloud to Endpoint: Choosing the Right Tech Stack for an AI-Powered Application
Introduction Cloud-hosted AI applications are powerful but come with latency, privacy, and connectivity constraints. To overcome these, transitioning to an endpoint-based AI solution is the next logical step. This post explores the tech stack options for converting a monolithic AI application into a cross-platform endpoint app, ultimately deciding between Flutter and Electron. Current AI Application Overview The existing AI app is a cloud-hosted monolithic solution featuring: A web interface built with Chainlit A LangGraph agent that integrates with: LLM (Large Language Model) FHIR Server for Electronic Health Records (EHR) Web search RAG (Retrieval-Augmented Generation) Our Goal We want to move this AI application to the endpoint, ensuring it is: ✅ Cross-platform (Mac, Windows, Linux) ✅ Accessible on mobile (iOS, Android) ...