ssue in search with join in typesense

This is my collection Schema

`
const schema={
“name”: “dishes”,
“num_documents”: 0,
“fields”: [
{ “name”: “id”, “type”: “string”, “facet”: false },
{ “name”: “name”, “type”: “string”, “facet”: false },
{ “name”: “unit”, “type”: “int32”, “facet”: false, “optional”: true },
{ “name”: “calories”, “type”: “int32”, “facet”: false, “optional”: true },
{ “name”: “price”, “type”: “int32”, “facet”: false },
{ “name”: “is_active”, “type”: “bool”, “facet”: false },
{ “name”: “size”, “type”: “int32”, “facet”: false, “optional”: true },

        ],
            "default_sorting_field": "created_at",
                "enable_nested_fields": true

}

const schema = {
“name”: “tags”,
“num_documents”: 0,
“fields”: [
{ “name”: “id”, “type”: “string”, “facet”: false },
{ “name”: “name”, “type”: “string”, “facet”: false }
],
“enable_nested_fields”: true
}
`

`

const schema = {
“name”: “dish_tags”,
“num_documents”: 0,
“fields”: [
{ “name”: “dish_id”, “type”: “string”, “facet”: false, “reference”: “dishes_view.id” },
{ “name”: “tags_id”, “type”: “string”, “facet”: false, “reference”: “tags.id” }
],
“enable_nested_fields”: true
}
`

now I want to search with the tag name and dish name.
I tried this but it did not work

`
const data = await typesenseClient.collections(“dishes_view”).documents().search({
‘q’: ‘tag1’,
‘query_by’: ‘*’,
“filter_by”: “$dish_tags(id: )”,
“include_fields”: “$tags() as as tagsData ,name”

})

`
console.log(JSON.stringify(data, null, 2));

so is there any mistake in my search query or typesense is not providing a search in the join table
if there is any mistake in my query please provide the correct search query

is there any another to implementation this functionality