logger.warn("Failed to read a suggest elevate word: {}", list, e);
                }
            }
            elevateWordBhv.refresh();
        } catch (final IOException e) {
            logger.warn("Failed to read a suggest elevate word.", e);
        }
    }

    /**
     * Exports elevate words to a CSV file.
     * CSV format: SuggestWord, Reading, Permissions, Labels, Boost

                    logger.warn("Failed to generate popular words.", e);
                }

                return wordList;
            });
        } catch (final ExecutionException e) {
            logger.warn("Failed to load popular words.", e);
        }
        return Collections.emptyList();
    }

    /**
     * Clears all cached popular word lists.
     */
    public void clearCache() {

    }

    /**
     * Deletes a bad word.
     *
     * @param badWord The bad word to delete
     */
    public void deleteBadWord(final String badWord) {
        settings.badword().delete(normalizer.normalize(badWord, ""));
    }

    /**
     * Adds an elevate word.
     *
     * @param index The index name
     * @param elevateWord The elevate word to add

    /**
     * Sets whether to match the first word.
     * @param matchWordFirst True to match the first word, false otherwise.
     */
    public void setMatchWordFirst(final boolean matchWordFirst) {
        this.matchWordFirst = matchWordFirst;
    }

    /**
     * Sets whether to skip duplicate words.
     * @param skipDuplicateWords True to skip duplicate words, false otherwise.
     */

class Prompt(BaseModel):
    text: str


@app.post("/chat/stream", response_class=EventSourceResponse)
async def stream_chat(prompt: Prompt) -> AsyncIterable[ServerSentEvent]:
    words = prompt.text.split()
    for word in words:
        yield ServerSentEvent(data=word, event="token")

    // ============================================================

    @Test
    public void test_buildFilterQuery_singleWord() {
        List<String> words = Collections.singletonList("tag1");
        QueryBuilder result = request.buildFilterQuery("tags", words);
        assertNotNull(result);
        assertTrue(result instanceof BoolQueryBuilder);

        String queryString = result.toString();

naar
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hoe
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hebben
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nog
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me
zij
nu
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geen
omdat
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worden
toch
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waren
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meer
doen
toen
moet
ben
zonder
kan
hun
dus
alles
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ja
eens
hier
wie
werd
altijd
doch
wordt
wezen
kunnen
ons
zelf
tegen
na
reeds
wil
kon
niets
uw
iemand
geweest

labels.suggest_word_configuration=Suggest Word
labels.suggest_word_title_details=Suggest Word
labels.suggest_word_type=Word Type
labels.suggest_word_number=Number of Words
labels.suggest_word_type_all=All
labels.suggest_word_type_document=Document
labels.suggest_word_type_query=Query
labels.elevate_word_configuration=Elevate Word
labels.elevate_word_title_details=Elevate Word
labels.elevate_word_link_list=List

     * @param words The words to filter by.
     * @return The QueryBuilder instance.
     */
    public QueryBuilder buildFilterQuery(final String fieldName, final List<String> words) {
        final BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery().minimumShouldMatch(1);
        words.stream().forEach(word -> boolQueryBuilder.should(QueryBuilders.termQuery(fieldName, word)));
        return boolQueryBuilder;

        result.add(sb.toString());
        // lines
        for (String line : lines) {
            sb.setLength(0);
            String[] words = S_FILTER.split(line);
            for (String word : words) {
                if (sb.length() >= remainder - word.length() - (!sb.isEmpty() ? 1 : 0)) {
                    repeat(sb, ' ', remainder - sb.length());
                    result.add(BOX_CHAR + " " + sb + " " + BOX_CHAR);