Enterprise Search Platform

The vendor is required to provide enterprise search platform to ensure continuity, scalability, and enhanced discovery across its campus web properties. 
•    Enterprise search: indexes and retrieves content from multiple sources including CMS oracle databases, and file systems.
•    Relevance tuning: allows administrators to adjust ranking algorithms and boost specific content to improve result quality and visibility.
•    Faceted navigation: supports dynamic filtering by metadata such as content type, department, or date, as seen in university current tabbed search interface.
•    Customizable UI: enables branding and layout customization to match university institutional web standards, including support for FTL templates and custom mini-sites like and “people search.”
•    Search analytics: provides reports on search behavior, popular queries, and zero-result searches to inform content strategy and improve user experience.
•    Content auditing: identifies broken links, outdated content, and accessibility issues across indexed pages using built-in auditing tools such as accessibility auditor and content auditor.
•    Integration with adobe CMS: seamless indexing and retrieval of content hosted in, university content management system, with support for custom search endpoints.
•    Personalization: supports tailored search results based on user roles or behavior, including curated promotions and “best bets” managed by business users.
•    Restful API: enables programmatic access to search results and indexing functions, including support and autocomplete APIs used across university domains.
•    Security and access control: honors content permissions and supports role-based access to search results, ensuring secure and appropriate content delivery.
•    Scalability: capable of supporting large-scale deployments across multiple campus domains, with daily indexing of over 350,000 documents and capacity for up to 500,000.
•    Support for structured and unstructured data: indexes html, pdfs, word documents, and other formats, including database-driven collections with oracle connectors.
•    Custom server-side logic: preserves existing groovy-based query hooks and index filters, with migration or reimplementation in DXP as needed.
•    Crawl scheduling: enables flexible crawl scheduling, including daily reindexing, high-frequency updates for directories and news, and reduced frequency for archived content.
•    Knowledge transfer: includes comprehensive documentation and training options for university developers and administrators to ensure successful adoption and long-term sustainability.

- Contract Period/Term: 1 year