HST-2 Search: Tips and Considerations

This page provides practical guidance for working with search queries in the Bloomreach Content (formerly Hippo) delivery tier.

Refer to the following topics for specific implementation details:

• Boost Document Scores: Adjust the relevance ranking of documents based on property values.
• Negate a Query Constraint: Exclude specific results by applying negation to query filters.
• Search Linked Documents: Retrieve documents that reference a specific document through a link.
• Search Assets: Query digital assets such as images and files.
• Searching for a Phrase: Implement phrase-based search to match exact sequences of words.
• Search Input Parsing Utilities: Use utility classes to parse and sanitize user search input.
• Sort Search Results: Sort query results by direct document properties.
• Fast Date Range Queries: Optimize date range queries using built-in HST support.

Review each linked page for implementation steps, configuration requirements, and common pitfalls.