Build AI-Generated Chat Summaries in Your React Chat App
Blog post from Stream
The tutorial details the integration of AI-generated summaries into a Next.js chat application to help users catch up on unread messages across multiple channels efficiently. By utilizing a local Large Language Model (LLM) via LM Studio, the tutorial ensures user data privacy and optimal performance, while allowing for easy transition to cloud-based LLM providers if needed. The process involves setting up a basic chat application with Next.js and Stream, then adding an AI-powered feature where users can click a "What did I miss?" button to receive concise summaries of unread messages. The tutorial covers the technical setup, including the installation of dependencies, configuration of environment variables, and creation of a UI using Shadcn UI components. It also explains the implementation of functions to fetch and summarize unread messages, leveraging a structured JSON schema for reliable output. The integration is demonstrated within a chat interface, enhancing the user experience by providing quick insights into missed conversations.