Article library
257 articles · Page 17
Keep browsing
Use tags to narrow the library once you know the direction you want.
A practical guide to explaining embedding and rerank selection in RAG interviews, especially when interviewers push on BGE vs GTE, MTEB interpretation, retrieval latency, and ranking quality.
Read articlearrow_forward
Interview anxiety is something every job seeker faces. This article provides scientific psychological regulation methods to help you maintain your best state during interviews and show your true self.
Read articlearrow_forward
A practical walkthrough of interview-grade RAG architecture, focused on offline parsing, chunk construction, query routing, metadata design, and why knowledge quality sets the ceiling for answer quality.
Read articlearrow_forward
Technical deep dive on improving Markdown resume project completeness from 0% to 93%. Covers chunking strategy refactoring, multi-format project recognition, smart merging algorithms, and how to prepare high-quality knowledge base documents.
Read articlearrow_forward
Many candidates can explain retrieval and reranking, but not why different queries should take different paths. This guide breaks down query understanding, entity extraction, routing, and fallback design in interview-ready language.
Read articlearrow_forward
Master RAG (Retrieval-Augmented Generation) system design for AI engineer interviews. Learn vector database selection, retrieval strategies, and security best practices.
Read articlearrow_forward
Many technically excellent candidates fail interviews not because of weak skills, but insufficient soft skills. This article analyzes key soft skills in technical interviews, helping you comprehensively demonstrate your value.
Read articlearrow_forward
Project experience is core to technical interviews, yet many candidates just list tech stacks. This article teaches you how to present projects through storytelling, making interviewers deeply impressed with your capabilities.
Read articlearrow_forward
Interview failure isn't scary—not knowing why is. This article teaches you how to systematically review each interview, learning from failures to continuously improve your interview performance.
Read articlearrow_forwardPage 17 of 29
