we are facing issues with indexing (integreting) the data with Azure Cognitive Search (AI search)

Question

as you see in the below image we have confusion in indexing the data with AI search that which field we have to check and what is the use of it and how it work and react in response on questions in Open AI like, Retrievable, Filterable, Sortable etc

Answer 1

@Chitresh Rahamatkar

Thanks for reaching here! If I have understood you right your query is regarding indexing and the different field options available in Azure Cognitive Search.

When you create an index in Azure Cognitive Search, you define the schema for the searchable data. The schema includes the fields that you want to make searchable, as well as the data types and other attributes for each field.

Here are some of the field options available in Azure Cognitive Search:

Retrievable: This option determines whether the field can be returned in search results. If a field is not retrievable, it will not be returned in search results, even if it matches the search query.

Filterable: This option determines whether the field can be used in filter expressions. If a field is filterable, you can use it to filter search results based on specific criteria.

Sortable: This option determines whether the field can be used in sorting expressions. If a field is sortable, you can use it to sort search results based on specific criteria.

There are many other field options available in Azure Cognitive Search, such as facetable, searchable, and analyzers.

You can find more information about these options in the Azure Cognitive Search documentation.

Hope this helps. Let us know if you have any further questions.