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From Hallucination to Accuracy: Engineering Better RAG Pipelines in Next.js 16
정확한 AI를 위한 Next.js 16 RAG 파이프라인 설계 완전 분석
Why it matters
Most RAG implementations fail due to poor pipeline design, not AI model limitations. This comprehensive guide introduces proven optimization techniques—hybrid search, re-ranking, and adaptive chunking—that demonstrably improve accuracy by 15-30%. For developers building knowledge-grounded systems, these strategies are essential to creating AI that delivers expert-level precision rather than generating hallucinations.
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RAGNext.js 16Hybrid SearchRe-rankingMetadata Filtering