Problem Statement
At CVS Health, conflicting information across multiple sources is a recurring challenge. Often, newer content exists alongside outdated versions on older sites, leading to confusion and incorrect answers. Current reasoning systems do not adequately account for content freshness, as published dates are not factored into relevancy scoring.
Proposed Solution
Introduce a product upgrade that integrates date-awareness into content relevancy algorithms. This enhancement would allow the system to prioritize and rank information based on temporal attributes, ensuring that the most current and authoritative content surfaces first.
Key Features
- Multi-Date Consideration: Incorporate created, updated, and published date (or a weighted combination) into relevancy scoring.
- Dynamic Ranking: Adjust search and reasoning outputs to favor the most recent and accurate content.
- Configurable Rules: Enable administrators to define how date attributes influence ranking (e.g., prioritize updated date over published date).
- Conflict Resolution: Automatically flag and deprioritize outdated or superseded content to reduce misinformation.