Oracle is releasing the latest version of Oracle Trusted Answer Search to help close the gap between enterprise applications that already contain the right reports, workflows, and pages and the employees looking for them.
According to Oracle, the solution maps natural-language questions to curated application targets, including approved reports, URLs, and SQL-driven views. It can also resolve the validated inputs those targets require, such as a region, language, category, or time period.
The application remains in control of the destination and action. The user gets a faster, more natural way to reach it, the company said.
Oracle Trusted Answer Search 26.2 expands this approach with optional LLM-powered input extraction and re-ranking, single sign-on, an embeddable search widget, support for OCI-hosted LLM models, and richer tools for understanding and improving search behavior.
Trusted Answer Search is designed for application experiences where predictable outcomes matter. Instead of generating a free-form response, it retrieves from a constrained set of curated search targets and returns structured metadata that the application can use to open the appropriate page, render an approved report, or run a governed view.
For many enterprises, the strongest business case for natural-language search is not creating another source of answers. It is making existing, governed capabilities easier to use.
Trusted Answer Search gives applications a natural-language front door. Users can describe what they need in familiar language, and the application can route them to a curated destination with validated inputs.
This is especially valuable in complex, high-value systems where the correct action already exists but is difficult to discover. Rather than trading control for convenience, teams can improve usability while keeping results tied to approved application behavior, Oracle said.
Trusted Answer Search 26.2 supports sign-in through the configured single sign-on identity provider. Organizations can provide a more seamless user experience while aligning access with their existing identity-management approach.
Enterprise actions frequently require specific inputs: a region, company, product category, date range, person, or another domain-specific value. In 26.2, teams can use a configured LLM to extract target-action input values from natural-language questions.
Trusted Answer Search combines semantic and lexical retrieval to identify relevant curated targets. With 26.2, administrators can optionally use an LLM to re-rank retrieved candidates and improve relevance within a search space.
The Trusted Answer Search widget makes it easier to add natural-language search to an existing application. Teams can embed a ready-to-use search experience without building the complete interface from scratch.
Organizations can also use the packaged portal experience or integrate through APIs when they need greater control over the user experience.
Trusted Answer Search 26.2 helps teams validate behavior with repeatable question sets and use telemetry to understand real-world search activity.
This gives teams a measurable way to improve relevance while controlling how changes reach production.
Trusted Answer Search does not require every question to become a generative-AI task. Teams can use Oracle AI Vector Search and lexical retrieval for fast, controlled matching, then selectively apply an LLM for input extraction or candidate re-ranking.
Trusted Answer Search supports the different roles involved in operating an enterprise search experience:
- End users search in natural language and provide feedback.
- Search-space experts curate targets, descriptions, sample questions, and controlled values.
- Administrators manage users, versions, models, tests, and rollout.
- Developers integrate search through the portal, widget, or API.
The result is a search experience designed to be accurate, controlled, adaptable, measurable, and easier to integrate into existing applications.
Oracle Trusted Answer Search 26.2 is available now for teams building dependable natural-language access to enterprise reports, pages, and workflows.
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