Vectors vs. hallucinations: How OpenSearch keeps GenAI grounded
OpenSearch

Vectors vs. hallucinations: How OpenSearch keeps GenAI grounded


Summary

At OpenSearchCon Europe 2026, Laysa Uchoa argued that generative AI hallucinations are primarily a retrieval problem rather than an inherent limitation of Large Language Models. She demonstrated that by implementing hybrid retrieval (combining BM25 and k-NN), optimized chunking strategies, and rigorous evaluation frameworks, developers can reduce hallucination rates in production RAG architectures by over 80%.
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