Prepare your search
You need to encode your Azure AI Search query by sending it to an embedded model. The response is then passed to a search engine to complete a search over the vector fields.
In order for your query to work, you need do the following tasks:
Check your index has vector fields
You check if your search has vector fields by running an empty search, the result includes a vector field with a number array.
You can also look for a field named vectorSearch of with the type Collection(Edm.single). This has an algorithm configuration and an attribute of 'dimension'.
Convert a query input into a vector
You can only query a vector field with a query vector. Your end-users provide a text query string, which your application converts into a vector by using the embedding library you used for to create the source document embeddings.