Building a Lexical Search Query

Describes how to build and run a Lexical Search query.

Lexical Search, or Classic Search, is a fundamental approach to retrieve information based on keyword, integer, float, date etc. value matching. This search operates by assessing the similarity of a collection documents to a query document. It then selects the documents with the top scores and return their id's to the user.

Running the Lexical (Classic) Search Query in DSL Syntax

Python

query = {
        "query": {
            "bool": {
                "must": [
                    {"term": {"name": "John"}}
                ]
            }
        }
    }
results = hyperspace_client.dsl_search(query,
                                   size=10,                 
                                   collection_name=collection_name)

Java

JavaScript

Where query is your query logic, see example below.

Python

query = {
  "query": {
    "function_score": {
      "query": {
        "bool": {
          "must": [
            {
              "term": {
                "genres": "genres_value"
              }
            },
            {
              "term": {
                "adult": "adult_value"
              }
            },
            {
              "bool": {
                "must_not": [
                  {
                    "term": {
                      "title": "title_value"
                    }
                  }
                ]
              }
            }
          ],
          "should": [
            {
              "range": {
                "rating": {
                  "gt": 7.0
                }
              }
            }
          ]
        }
      },
      "boost_mode": "multiply",
      "boost": 2.0
    }
  }
}

Java

JavaScript