RAG · 4 min read
RAG Evaluation Metrics: Interview Answer Framework
A structured framework for answering RAG evaluation interview questions, covering faithfulness, answer relevancy, context relevancy, RAGAS, and human eval correlation.
RAG · 4 min read
A structured framework for answering RAG evaluation interview questions, covering faithfulness, answer relevancy, context relevancy, RAGAS, and human eval correlation.
RAG · 8 min read
A structured framework for answering Graph RAG interview questions — knowledge graph construction, entity extraction, community detection, and Microsoft's GraphRAG approach.
RAG · 6 min read
A framework for answering hybrid search interview questions in RAG systems — BM25 + dense retrieval, reciprocal rank fusion, when sparse beats dense, and weighted scoring in practice.
RAG · 8 min read
A structured framework for answering RAG metadata filtering interview questions — pre-filter vs post-filter tradeoffs, schema design, access control, and temporal filtering.
RAG · 4 min read
A structured framework for answering multimodal RAG interview questions, covering image+text retrieval, CLIP embeddings, table extraction, and diagram understanding.
RAG · 7 min read
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.