Stop Making Your AI Chatbot Slower: Streaming Responses with Spring AI and Server-Sent Events
The article discusses how to improve the responsiveness of AI chatbots by using Spring AI's streaming support with Server-Sent Events (SSE). This approach allows for faster perceived response times, making applications feel more responsive to users. By implementing streaming, developers can reduce bounce rates and enhance the overall user experience.
- ▪Most applications currently require users to wait several seconds for a full response from AI chatbots.
- ▪Using Spring AI's streaming support allows for immediate updates to the user interface as tokens are received.
- ▪This method significantly improves perceived response times, making the application feel faster to users.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3934288) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Lav Kumar Dixit Posted on May 26 Stop Making Your AI Chatbot Slower: Streaming Responses with Spring AI and Server-Sent Events #springboot #webdev #programming #ai **The Wrong Approach Most applications follow this flow:** User Query ↓ LLM Request ↓ Wait 5-10 Seconds ↓ Return Full Response **The Better Architecture Use Spring AI's streaming support combined with Server-Sent Events (SSE).** User Query ↓ Spring AI ↓ Streaming Tokens ↓ SSE Endpoint ↓ Browser Updates UI Instantly Spring…
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