I’ve been contemplating the idea of building a custom retrieval-augmented generation system from scratch. However, I’m not so sure if this will add value to my resume or help me in interviews. It seems like many people these days prefer utilizing no-code tools like N8n for creating AI agents. I’m curious if dedicating time to a manual build would really showcase my skills to employers, or if I should instead focus on becoming proficient with existing no-code platforms. What do you think about the benefits and drawbacks of going this route?
Most companies care about results, not how you built it. I spent three months building a custom RAG system for document retrieval at my last job. Sure, diving deep into embedding models and vector similarity taught me a lot, but my manager kept asking why I wasn’t just using existing tools. Here’s the thing - building from scratch only makes sense when you hit the walls of no-code platforms. Like when you need custom preprocessing pipelines or specialized retrieval algorithms. For your resume, I’d go hybrid. Use frameworks like LangChain or LlamaIndex for the boring stuff, then build custom components where it actually matters. Shows you can solve real problems and go technical when needed, without rebuilding everything from zero.
Building from scratch has its place, especially early in your career when you need to prove you can actually code. I faced this same choice last year and ended up doing both for different projects. The custom RAG implementation taught me tons about vector databases, embedding strategies, and retrieval optimization - stuff I’d never learn clicking through a GUI. In technical interviews, I could actually discuss the architectural decisions and tradeoffs I made. That gave me a huge edge over candidates who’d only used no-code tools. But here’s the thing - most production environments do use existing platforms for speed and maintenance. My advice? Start with the scratch implementation to build your foundation, then learn how to get similar results with no-code tools. This combo shows you’ve got both technical chops and business sense.
I understand your dilemma. I’ve been in your shoes, going from manual builds to automating processes for efficiency.
When I developed a RAG system for customer support six months ago, I chose Latenode. It allowed me to create the data pipeline efficiently while still maintaining control over the retrieval logic.
This approach not only demonstrated my technical skills—like API integrations and system design—but also saved time on repetitive tasks that are common in RAG systems.
In interviews, it’s crucial to convey your ability to deliver high-quality results quickly. Focusing on automation can showcase your capacity for solving real-world problems.
In the tech landscape, being able to build sophisticated systems efficiently will definitely set you apart more than traditional coding from scratch.
depends on what role ur after. if u wanna be seen as an engineer who gets the underlying tech, build from scratch - it’ll help for sure. no-code platforms r great for quick prototypes but won’t teach ya chunking strategies or retrieval scoring. start with a simple custom version first. doesn’t need 2 b fancy, just functional enough 2 show u understand the concepts.