> For the complete documentation index, see [llms.txt](https://docs.hyper-space.io/hyperspace-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.hyper-space.io/hyperspace-docs/api-documentation/dsl-query-framework/bool-queries/must-clause.md).

# 'must' Clause

The 'must' clause specifies conditions that **must be satisfied** for a document to be considered a match. In terms of logical operators, it corresponds to 'and' operator.

#### must' Clause Score <a href="#must-clause-score" id="must-clause-score"></a>

Under the `'must'` clause, each element is assigned a probabilistic rarity score, and the total score for the 'must' clause is calculated by combining these individual scores. Unless specified otherwise, the score is based on the TF-IDF scoring model. .The '`must'` clause is used when you want all specified conditions to be satisfied for a document to be considered a match. Since each score represent a different probability, the combined score is a product of the individual scores

Score = score1 \* score2 \* score3...

Note: This scoring method assumes the 'must' clause are independent of one another

**Example -**

```json
{
  "query": {
    "bool": {
      "must": [
        { "term": { "Bird": "Asian Koel" } },
        { "range": { "price": { "gte": 10} } },
        { "term": { "In Stock": "true" } }
      ]
    }
  }
}
```

In the above example, all candidates must satisfy all three conditions -

* exact match over the 'bird' field, with score equals TF-IDF score for { "Bird": "Asian Koel" }
* The 'price' field must be greater than or equal to 10
* match over "In Stock" field, with score equals TF-IDF score for { "In Stock": "true" }

The overall score will be a product of the individual scores.


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