# Match long query text to short field
**URL:** https://discuss.elastic.co/t/match-long-query-text-to-short-field/144584
**Category:** Elasticsearch
**Created:** [August 15, 2018, 7:55pm UTC](https://discuss.elastic.co/t/match-long-query-text-to-short-field/144584 "2018-08-15T19:55:28Z")
**Posts on this page:** 3
**Page:** 1
### Author:  [@dmill](https://discuss.elastic.co/u/dmill)
#### Post date: [August 15, 2018, 7:55pm UTC](https://discuss.elastic.co/t/match-long-query-text-to-short-field/144584/1 "2018-08-15T19:55:28Z")
Standard match involves providing a small query term or phrase and matching it against a larger blob of text stored in a document. I want to do the reverse - my query will be a large blob of text, like a paragraph, and I want to rank the relevance of documents that contain a full name (i.e. John Smith). I want to supply a paragraph and determine which document's full name is most likely to be contained in that paragraph. What's the best way to do this?
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### Author:  [@dmill](https://discuss.elastic.co/u/dmill)
#### Post date: [August 16, 2018, 12:17am UTC](https://discuss.elastic.co/t/match-long-query-text-to-short-field/144584/2 "2018-08-16T00:17:37Z")
Answering my own question: The Percolate API allows you to store queries and run documents against them: [https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-percolate-query.html](https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-percolate-query.html)
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### Author:  [@system](https://discuss.elastic.co/u/system)
#### Post date: [September 13, 2018, 12:17am UTC](https://discuss.elastic.co/t/match-long-query-text-to-short-field/144584/3 "2018-09-13T00:17:41Z")
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