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Oracle delivers semantic search without LLMs

infoworld.com·Apr 17, 2026

Oracle's new Trusted Answer Search offers enterprises a reliable search solution by utilizing vector search on a curated set of approved documents, aiming to provide structured and verifiable outcomes while reducing reliance on large language models. This approach, while beneficial for compliance and predictability, requires ongoing investment in data curation and governance, and presents challenges in maintaining up-to-date content across extensive datasets.

For enterprises focused on reducing operational risk and ensuring compliance, Oracle's Trusted Answer Search offers a promising solution by delivering deterministic, verifiable search results from a curated set of documents, minimizing reliance on LLMs. However, this approach requires investment in data curation and governance, and may introduce challenges in maintaining up-to-date content. The system's ability to pull live data from enterprise applications and APIs could mitigate some maintenance burdens, offering an alternative to static document repositories in fast-paced regulatory environments.

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