# Non-string OpenSearch indexing in Amazon Neptune
<a name="full-text-search-non-string-indexing"></a>

Non-string OpenSearch indexing in Amazon Neptune allows replicating non-string values for predicates to OpenSearch using the stream poller. All predicate values that can safely be converted to a corresponding OpenSearch mapping or datatype is then replicated to OpenSearch.

For non-string indexing to be enabled on a new stack, the `Enable Non-String Indexing` flag in the Amazon CloudFormation template must be set to `true`. This is the default setting. To update an existing stack to support non-string indexing, see [Updating an existing stack](full-text-search-non-string-indexing-update.md) below.

**Note**  
It is best not to enable non-string indexing on engine versions earlier than **`1.0.4.2`**.
OpenSearch queries using regular expressions for field names that match multiple fields, some of which contain string values and others of which contain non-string values, fail with an error. The same thing happens if full-text search queries in Neptune are of that type.
When sorting by a non-string field, append ".value" to the field name to differentiate it from a string field.

**Contents**
+ [Updating an existing Neptune full-text search stack to support non-string indexing](full-text-search-non-string-indexing-update.md)
+ [Filtering what fields are indexed in Neptune full-text search](full-text-search-non-string-indexing-filters.md)
  + [Filter by property or predicate name](full-text-search-non-string-indexing-filters.md#full-text-search-non-string-indexing-filters-name)
  + [Filter by property or predicate value type](full-text-search-non-string-indexing-filters.md#full-text-search-non-string-indexing-filters-datatype)
+ [Mapping of SPARQL and Gremlin datatypes to OpenSearch](full-text-search-non-string-indexing-mapping.md)
+ [Validation of data mappings](full-text-search-data-validation.md)
+ [Sample non-string OpenSearch queries in Neptune](full-text-search-non-string-examples.md)
  + [Get all vertices with age greater than 30 and name starting with "Si"](full-text-search-non-string-examples.md#full-text-search-non-string-example-1)
  + [Get all nodes with age between 10 and 50 and a name with a fuzzy match with "Ronka"](full-text-search-non-string-examples.md#full-text-search-non-string-example-2)
  + [Get all nodes with a timestamp that falls within the last 25 days](full-text-search-non-string-examples.md#full-text-search-non-string-example-3)
  + [Get all nodes with a timestamp that falls within a given year and month](full-text-search-non-string-examples.md#full-text-search-non-string-example-4)