Create custom neural query

[jmazanec15]

Create a new query type: "neural". Internally, it will use ML-Commons to take a query string and create a vector from it. From there, it should build a k-NN query.

Interface will look like:

GET <index_name>/_search
{
  "size": int,
  "query": {
    "neural": {
      "<vector_field>": {
        "query_text": "string",
        "model_id": "string",
        "k": int
      }
    }
  }
}

vector_field — Field to execute k-NN query against
query_text — (string) Query text to be used to produce queries against.
model_id — (string) ID of model to do vector to encoding.
k — (int) Number of results to return from the k-NN search

For more details, refer to #11 (comment)

[navneet1v]

@jmazanec15 can you provide details on what will be optional parameters and what are required parameters.

[jmazanec15]

vector_field — (REQUIRED) Field to execute k-NN query against
query_text — (REQUIRED) (string) Query text to be used to produce queries against.
model_id — (REQUIRED) (string) ID of model to do vector to encoding.
k — (OPTIONAL - Defaults to 10) (int) Number of results to return from the k-NN search