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Production-Grade Semantic Search: What Building RAG at Scale Really Requires
Semantic Search 대규모 운영의 실제 기술: Tutorial에서는 배울 수 없는 프로덕션 RAG 시스템 구축
Why it matters
The gap between RAG tutorials and production systems is substantial, demanding careful attention to chunking strategies, re-ranking mechanisms, and infrastructure decisions that tutorials typically overlook. This insider perspective from a Microsoft Copilot infrastructure engineer reveals the practical complexities that determine success in real-world semantic search applications. Understanding these production lessons is essential for developers building reliable AI systems that must scale beyond proof-of-concept demos.
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Semantic SearchRAGVector DatabaseRe-rankingChunking