OpenSearch

Vectors vs. hallucinations: How OpenSearch keeps GenAI grounded (opens in new tab)

At OpenSearchCon Europe 2026, Laysa Uchoa from NordCloud reframed generative AI hallucinations as a retrieval problem rather than an LLM limitation. She demonstrated production RAG architectures where hallucination rates dropped by over 80% by prioritizing hybrid retrieval (combining BM25 lexical scoring and k-NN vector search), implementing disciplined chunking strategies, and utilizing rigorous evaluation frameworks over simple "vibes". The post appeared first on <a href="

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