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));

Is there any mistake in my search query or is typesense 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 other to implement this functionality

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
}