suggest.popular.word.window.size=30
# Query frequency for popular word suggestion.
suggest.popular.word.query.freq=10
# Minimum hit count for suggestion.
suggest.min.hit.count=1
# Field for suggestion contents.
suggest.field.contents=_default
# Field for suggestion tags.
suggest.field.tags=label
# Field for suggestion roles.
suggest.field.roles=role
# Index contents for suggestion.

    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.

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

        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());

         * @param request The HTTP servlet request
         * @param query The search query string
         * @param tags Array of tags to filter suggestions
         * @param fields Array of fields to search in for suggestions
         * @param num The maximum number of suggestions to return
         */
        protected RequestParameter(final HttpServletRequest request, final String query, final String[] tags, final String[] fields,

	</component>

	<!-- Jobs -->
	<component name="crawlJob" class="org.codelibs.fess.job.CrawlJob" instance="prototype">
	</component>
	<component name="suggestJob" class="org.codelibs.fess.job.SuggestJob" instance="prototype">
	</component>
	<component name="aggregateLogJob" class="org.codelibs.fess.job.AggregateLogJob" instance="prototype">
	</component>