---
title: "Discussion on \"How to Ship a Production-Ready RAG App with FAISS (Guardrails, Evals, and Fallbacks)\" | Hashnode"
description: "Discussion on \"How to Ship a Production-Ready RAG App with FAISS (Guardrails, Evals, and Fallbacks)\". Most LLM applications look great in a high-fidelity demo. Then they hit the hands of real users and start failing in very predictable yet damaging ways.\nThey answer questions they should not, they bre"
url: "https://hashnode.com/posts/build-rag-app-faiss-fastapi/69b841572ad6ae5184d54317"
---

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# [How to Ship a Production-Ready RAG App with FAISS (Guardrails, Evals, and Fallbacks)](https://freecodecamp.org/news/build-rag-app-faiss-fastapi?utm_source=hashnode&utm_medium=feed)

Most LLM applications look great in a high-fidelity demo. Then they hit the hands of real users and start failing in very predictable yet damaging ways. They answer questions they should not, they bre

Mar 16 · 14 min read · freecodecamp.org  
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## Written by

[Chidozie Managwu](https://hashnode.com/@Doxzy)

@Doxzy · Bradford

  
[View profile](https://hashnode.com/@Doxzy)

Senior Software/AI Engineer. Django,Nextjs, Python, .NET || AWS

I am a senior software developer with extensive experience in leading teams and building complex web platforms, including educational and healthcare-focused applications. I have demonstrated deep technical expertise in backend development, AI integration, and cloud technologies, which is further evidenced by my peer-reviewed publications in real-time object detection and AI. My work has earned recognition through citations and contributions to platforms indexed in Google Scholar and ResearchGate. Beyond my technical roles, I am actively involved in mentorship through ADPList and serve as an Alumni Advisory Board Member for the Generation Initiative, showcasing my commitment to advancing digital skills and cloud technology.

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