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Kuika's Search action allows you to search databases or file collections based on a specific query. The Search action takes different parameters depending on the type of search and returns results according to the criteria specified by the user. The Search action can be used in three different types: Vector Search, Exact Vector Search and RAG Search. In this tutorial, you will learn how to use the different search types.

For Vector and Exact Vector Search, a limit value can be given. As in the Save Source operation, collection names can be added as optional. Thus, only the specified collection is searched.

Search action is supported on web and mobile applications.

  • Vector Search

It is a search type that returns the closest results to the given query. The returned results are sorted from closest to farthest. Unless you specify a limit value, it returns 5 results by default.

  • Exact Vector Search

This type returns vectors containing exactly the given query. For example, when “Izmir” is searched in the query, only results with “Izmir” are returned.

  • RAG Search (Retrieval-Augmented Generation Search)

It is the most appropriate action for question and answer purposes. OpenAI receives the answer to the query sent with the documents in the relevant collection. That is, the appropriate answers to the given question are returned.

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