如果你按照post说的做，你可以创建一个索引，并通过聚合提出你的建议。请注意，我使用了一个分析器，并且aggs位于关键字类型字段中。在本例中，您搜索“micr”并收到建议“micromax”。如果您更改价格，则如果价格大于10，建议将不会返回结果。这样，您就可以在建议中应用限制规则（您想要的方式）。
Map

PUT index
{
  "settings": {
    "analysis": {
      "analyzer": {
        "autocomplete": {
          "tokenizer": "my_tokenizer"
        }
      },
      "tokenizer": {
        "my_tokenizer": {
          "type": "ngram",
          "min_gram": 3,
          "max_gram": 3,
          "token_chars": [
            "letter",
            "digit"
          ]
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "brand": {
        "type": "text",
        "fields": {
          "autocomplete": {
            "type": "text",
            "analyzer": "autocomplete"
          },
          "raw_term": {
            "type": "keyword"
          }
        }
      }
    }
  }
}

数据

POST index/_doc
{
 "brand":"micromax",
 "price":10
}

POST index/_doc
{
 "brand":"samsung",
 "price":10
}

查询

GET index/_search
{
  "size": 0,
  "query": {
    "bool": {
      "filter": [
        {
          "range": {
            "price": {
              "gte": 10,
              "lte": 20
            }
          }
        }
      ],
      "must": [
        {
          "match": {
            "brand.autocomplete": "micr"
          }
        }
      ]
    }
  },
  "aggs": {
    "suggestion": {
      "terms": {
        "field": "brand.raw_term",
        "size": 10
      }
    }
  }
}

结果：

{
 "took": 1,
  "timed_out": false,
  "_shards": {
    "total": 1,
    "successful": 1,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": {
      "value": 1,
      "relation": "eq"
    },
    "max_score": null,
    "hits": []
  },
  "aggregations": {
    "suggestion": {
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0,
      "buckets": [
        {
          "key": "micromax",
          "doc_count": 1
        }
      ]
    }
  }
}