e.preventDefault();
        }
        suggestor.selectlist("up");
      } else if (e.keyCode === KEY_CODES.DOWN) {
        if ($boxElement.css("display") === "none") {
          suggestor.suggest();
        } else {
          suggestor.selectlist("down");
        }
      } else if (e.keyCode === KEY_CODES.ENTER) {
        if (isFocusList) {
          suggestor.fixList();
        }
      }
    });

    line-height: 1.6;
}

.empty-state-suggestions {
    width: 100%;
    max-width: 500px;
}

.suggestions-label {
    font-size: 0.8125rem;
    color: #6b778c;
    margin-bottom: 0.75rem;
    font-weight: 500;
}

.suggestion-chips {
    display: flex;
    flex-wrap: wrap;
    gap: 0.5rem;
    justify-content: center;
}

.suggestion-chip {
    padding: 0.5rem 1rem;

                $(this).find('.filter-search-wrapper').hide();
            }
        });

        // Suggestion chip click handlers
        $('.suggestion-chip').on('click', function() {
            var suggestion = $(this).data('suggestion');
            if (suggestion) {
                elements.chatInput.val(suggestion);
                updateCharCount();
                autoResizeTextarea();
                sendMessage();

    /**
     * Enable or disable search suggestions based on search logs.
     * When enabled, suggestions are generated from previous searches.
     */
    @Size(max = 10)
    public String suggestSearchLog;

    /**
     * Enable or disable search suggestions based on document content.
     * When enabled, suggestions are generated from indexed documents.
     */
    @Size(max = 10)

2. **Disclose significant AI involvement.** If AI tools played a major role in producing your contribution, say so in the description. We are not interested in incidental use, such as asking a chatbot for advice or accepting an autocomplete suggestion—but rather in cases where a tool generated substantial portions of the work. Disclosure will not reduce the likelihood of your PR or issue being accepted; we ask because information about AI tool use helps us evaluate their impact, build new best...

     * comment: Seed value for popular word suggestion.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getSuggestPopularWordSeed();

    /**
     * Get the value for the key 'suggest.popular.word.seed' as {@link Integer}. <br>
     * The value is, e.g. 0 <br>
     * comment: Seed value for popular word suggestion.

Fess Site Search provides extensive customization options via the [FSS Generator](https://fss-generator.codelibs.org/docs/manual):
- Result layout and styling
- Facet configuration
- Search box placement
- Suggestion behavior

**Example Result**:

![Fess Site Search](https://fess.codelibs.org/_images/fess-ss-1.png "Fess Site Search")

**Additional Resources**:

labels.groups=Groupes
labels.hash=Hachage
labels.maxSize=Taille maximale
labels.order=Ordre
labels.purgeSuggestSearchLogDay=Supprimer les anciennes informations de suggestion
labels.q=Requête
labels.roles=Rôles
labels.suggestSearchLog=Journal de recherche de suggestions
labels.suggestWord=Suggérer un mot
labels.targetLabel=Étiquette
labels.term=Terme
labels.fields=Champs
labels.ex_q=Requête étendue

 * handling classpath setup, system properties, and process monitoring.
 */
public class SuggestJob extends ExecJob {

    private static final Logger logger = LogManager.getLogger(SuggestJob.class);

    /**
     * Constructs a new suggest job.
     */
    public SuggestJob() {
        // do nothing
    }

    @Override
    public String execute() {

        assertEquals(Constants.EXECUTE_TYPE_SUGGEST, suggestJob.getExecuteType());
    }

    // Test session ID generation
    @Test
    public void test_sessionIdGeneration() {
        assertNull(suggestJob.sessionId);

        mockProcessHelper.setExitValue(0);
        suggestJob.execute();

        assertNotNull(suggestJob.sessionId);
        assertEquals(15, suggestJob.sessionId.length());