# ElasticSearch as a suggestion engine **URL:** \ **Category:** Elasticsearch\ **Created:** [May 23, 2011, 12:48pm UTC](https://discuss.elastic.co/t/elasticsearch-as-a-suggestion-engine/4457 "2011-05-23T12:48:31Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![Nicolas\_Clairon](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/nicolas_clairon/32/3224_2.png) [@Nicolas\_Clairon](https://discuss.elastic.co/u/Nicolas_Clairon)\ **Post date:** [May 23, 2011, 12:48pm UTC](https://discuss.elastic.co/t/elasticsearch-as-a-suggestion-engine/4457/1 "2011-05-23T12:48:31Z")
Hi, I have more than 3 millions of documents and I'd like to use ElasticSearch as a as-you-type suggestion engine just like the Wikipedia suggest box. To make long things sort, let's say that my documents are just like wikipedia's documents with the following fields : - title - aliases - page with some text My problem is that I can't make elasticsearch's results relevant. For instance, and to take some wikipedia example, searching the term "news" returns me: - ABC news - The NeWS - "Huey Lewis and the News" - N.E.W.S" - News Corporation... the "News" item is returned later. Basically, I want it to return the item which match the whole term before searching it into sentence. Something like that : "^term$" -\> (ie: "News") "^term" -\> (ie: "News Corporation") and then: "term" -\> (ie: "ABC news, "The NeWS"...) How can I do that ? I tried many analyzer and query types (query\_string, term, fuzzy etc...) without luck. Any hint and tips whould be very helpful. Thanks ! N. ---
**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\ **Post date:** [July 6, 2017, 4:05am UTC](https://discuss.elastic.co/t/elasticsearch-as-a-suggestion-engine/4457/2 "2017-07-06T04:05:34Z")