Category: RAG Performance
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The 2026 RAG Performance Paradox: Why Simpler Chunking Strategies Are Outperforming Complex AI-Driven Methods
When FloTorch released their comprehensive RAG benchmark study in February 2026, the results sent shockwaves through the enterprise AI community. After testing seven different chunking strategies across thousands of academic papers, the winner wasn’t the sophisticated semantic chunking method powered by advanced embeddings. It wasn’t the proposition-based approach using LLMs to create atomic fragments. The…
