Elasticsearch search suggestion on array field with partial edge ngram completion

问题

I am trying to build a suggester based on arrays of strings in my documents, it is similar to this one but with several differences : the completion suggester from Elasticsearch is not exactly doing what I want (in terms of filtering and prefix matching), as I need an edge ngram that would work on any word of the sentence, accent-insensitive. Let me clarify with an example.

Assume I have the following indexed documents. I want to suggest "tags" based on a query q (I don't care about the document themselves, only the tags that match my query)

[
  { "tags": [ "société générale", "consulting" ] },
  { "tags": [ "big data", "big", "data"] },
  { "tags": [ "data" ] },
  { "tags": [ "data engineering" ] }
  { "tags": [ "consulting and management of IT" ] }
]

I want to match prefix with accent tolerance, and the following query/responses highlight what I need

• (1) q = "societe" or q = "societe generale" should return [ "société générale" ] --> accent insensitive
• (2) q = "big data" should return [ "big data" ] --> both prefixes "big" and "data" must be in the string
• (3) q = "data" should return [ "big data", "data", "data engineering" ], --> anywhere in the sentence (but as a prefix)
• (4) q = "ata" should not return anything (not a prefix)
• (5) q = "IT consulting" should return [ "consulting and management of IT" ] --> both prefixes of q should match regardless of order

If I use a regular completion mapper+suggester,

# assuming a mapping of "tags", of type 'completion' is configured in my ES
{
  suggest: {
    text: "big data",
    tags: {
      completion: {
        field: "tags",
      },
    },

almost none of these cases work apart from (2), (4) and 1/3 results from (3)

Can I build a custom suggester or a custom search query that would satisfy my requirements and the examples given above ?

来源：https://stackoverflow.com/questions/58914479/elasticsearch-search-suggestion-on-array-field-with-partial-edge-ngram-completio