Building a Low-Latency AI Tutoring Platform With FastAPI and WebSockets
SMRTR summary
Standard HTTP request-response cycles break down in real-time EdTech AI environments, causing latency and hallucination problems. This blueprint covers building a decoupled, enterprise-grade AI tutoring backend using FastAPI persistent WebSockets and constrained RAG with syntax validation. The result is a high-concurrency, low-latency system capable of streaming structured educational content reliably to thousands of concurrent students.
SMRTR provides this summary for quick context. The original article belongs to Hacker Noon.
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