What is a RAG-powered AI question engine?

RAG (Retrieval-Augmented Generation) pulls relevant context—like existing questions—before AI generates new ones, cutting hallucinations and duplicates.

How does JSPrep Pro check for duplicate questions?

Uses Cohere embeddings and cosine similarity on full question context (code, outputs), rejecting anything over 0.85 score.

Does JSPrep Pro's AI cover the latest JavaScript features?

Yes, weekly crons prompt with fresh topics like structuredClone, keeping banks current unlike static competitors.

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JSPrep Pro's RAG AI Engine: Fresh JS Interview Questions, No More Stale BS

Job-hunting devs, imagine interview prep that evolves with JavaScript—no more 2021 questions in 2026. JSPrep Pro's RAG AI does just that, but is it genius or gimmick?

theAIcatchup Apr 08, 2026 4 min read

Schematic of JSPrep Pro's RAG pipeline with embeddings and similarity search

⚡ Key Takeaways

JSPrep Pro uses RAG with embeddings to generate non-duplicate JS questions weekly, fixing stale banks. 𝕏
No vector DB needed—pure cosine similarity scales fine for hundreds of questions. 𝕏
Human QA ensures quality, blending AI smarts with real oversight. 𝕏

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theAIcatchup

Community-driven. Code-first.

#JavaScript interview prep #JavaScript interviews #RAG #RAG AI #cosine similarity #embeddings #interview-prep #question generation

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Originally reported by Dev.to

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