RAG Interview Questions:

Published 2026-09-06 in AI Agents

RAG Interview Questions: 1. When should we use Fine-tuning instead of RAG? 2. What are the different chunking strategies in RAG? 3. How do you choose the best chunking method? 4. What are Context Precision and Context Recall? 5. How do you reduce token usage in RAG? 6. How do Multimodel Embeddings work? 7. What are embeddings, and why are they important? 8. What is a vector database? 9. How does similarity search work? 10. What is reranking in RAG? 11. What is Hybrid Search? 12. How does metadata filtering improve retrieval? 13. How does RAG reduce hallucinations? 14. Explain the complete RAG pipeline.

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