RAG · 8 min read
RAG Metadata Filtering: Interview Answer Framework
A structured framework for answering RAG metadata filtering interview questions — pre-filter vs post-filter tradeoffs, schema design, access control, and temporal filtering.
Tag: ai-engineering
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RAG · 4 min read
RAG Multimodal RAG: Interview Answer Framework
A structured framework for answering multimodal RAG interview questions, covering image+text retrieval, CLIP embeddings, table extraction, and diagram understanding.
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RAG · 7 min read
RAG Query Rewriting: Interview Answer Framework
A structured framework for answering RAG query rewriting questions in AI engineering interviews — covering HyDE, step-back prompting, multi-query decomposition, and LLM-based query expansion.
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RAG · 6 min read
RAG Reranking: Interview Answer Framework
How to answer RAG reranking interview questions — cross-encoder rerankers, ColBERT, Cohere Rerank, the two-stage retrieval pipeline, and how to manage the latency budget.
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RAG · 6 min read
RAG Vector Indexes: Interview Answer Framework
How to answer vector index questions in RAG interviews — HNSW vs IVF vs flat, Pinecone vs Weaviate vs Qdrant, the recall-latency tradeoff, and what changes at billion-scale.