Search

Models for both personalized and non-personalized fulltext search.

Smart personalized fulltext search which takes into account both the search query and the personal preferences of the user.



Enum
Default: medium
Allowed Values: low | medium | high

Determines whether personalization or full-text should have a higher priority in the ranking of the items.


Boolean
Default: true

Controls the behavior of the Logic when the searchQuery is empty. If set to true, the Logic returns personalized recommendations in case of an empty search query. If set to false, an empty result list is returned instead.

Non-personalized fulltext search, based purely on how well the search query is matched.



Boolean
Default: true

Controls the behavior of the Logic when the searchQuery is empty. If set to true, the Logic returns personalized recommendations in case of an empty search query. If set to false, an empty result list is returned instead.

Semantic search utilizes a large language model (LLM) to improve search accuracy by understanding the intent and context behind user queries.

Instead of relying solely on keyword matches, the system comprehends the semantic meaning of queries and retrieves results that align with the user's intentions. This advanced Logic delivers more accurate, context-aware search results, even when the query terms differ from the content in the database.

This Logic can be enabled upon request for Recombee Premium customers.

This Logic is not available in new databases by default. Please contact support@recombee.com if you want to use it.



Boolean
Default: true

Controls the behavior of the Logic when the searchQuery is empty. If set to true, the Logic returns personalized recommendations in case of an empty search query If set to false, an empty result list is returned instead.

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