By Anirban Ghoshal
Publication Date: 2026-04-17 14:59:00
According to Oracle, the company’s new Trusted Answer Search can deliver reliable results at scale by searching a controlled set of approved documents using vector search instead of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
Available for download or accessible via APIs, it works by companies defining a curated “search space” of approved reports, documents or application endpoints, paired with metadata, and then using vector-based similarity to match a user’s natural language query to the most relevant pre-approved target, he said Tirthankar LahiriSVP of Mission-Critical Data and AI Engines at Oracle.
Instead of fetching raw text and generating a response, as is typically the case RAG Systems that rely on it LLMsTrusted Answer Search’s underlying system deterministically maps the query to a specific “match document”, extracts all necessary parameters, and returns a structured, verifiable result such as a report, URL or action, etc.
