public ChatSearchResult(final List<Map<String, Object>> documents, final String queryId, final long requestedTime) {
            this.documents = documents;
            this.queryId = queryId;
            this.requestedTime = requestedTime;
        }

        /**
         * Gets the search result documents.
         *
         * @return the list of documents
         */

            final List<LlmMessage> history) {
        if (logger.isDebugEnabled()) {
            logger.debug("[RAG:ANSWER] generateAnswer. userMessage={}, documentCount={}, historySize={}", userMessage, documents.size(),
                    history.size());
        }
        final String context = buildContext(documents, "answer");

        final List<Map<String, Object>> documents = new ArrayList<>();
        final Map<String, Object> doc = new HashMap<>();
        doc.put("title", "Test Doc");
        doc.put("url", "http://example.com");
        doc.put("content", "Plain text content without any HTML");
        documents.add(doc);

        final String result = client.testBuildContext(documents);

# Maximum length of site name in documents.
crawler.document.max.site.length=100
# Encoding for site names in documents.
crawler.document.site.encoding=UTF-8
# Hostname to use when unknown in documents.
crawler.document.unknown.hostname=unknown
# Whether to use site encoding for English documents.
crawler.document.use.site.encoding.on.english=false
# Whether to append data to documents.
crawler.document.append.data=true

        assertEquals("Exported 0 documents.", result);
    }

    @Test
    public void test_execute_queryAndFormatChaining() {
        setupMockComponents(Collections.emptyList());

        final String result = indexExportJob.query(QueryBuilders.matchAllQuery()).format("json").execute();

        assertEquals("Exported 0 documents.", result);
    }

labels.chat_phase_evaluate=Reviewing search results...
labels.chat_phase_fetch=Retrieving documents...
labels.chat_phase_answer=Generating answer...
labels.chat_messages_area=Chat messages
labels.chat_welcome_title=Ask and Discover.
labels.chat_welcome_description=Ask questions and I'll search through documents to find the answers you need.
labels.chat_step_intent=Analyze
labels.chat_step_search=Search

labels.chat_phase_evaluate=Reviewing search results...
labels.chat_phase_fetch=Retrieving documents...
labels.chat_phase_answer=Generating answer...
labels.chat_messages_area=Chat messages
labels.chat_welcome_title=Ask and Discover.
labels.chat_welcome_description=Ask questions and I'll search through documents to find the answers you need.
labels.chat_step_intent=Analyze
labels.chat_step_search=Search

        final String value = values.length > 3 ? values[3] : null;
        if (value == null) {
            return FormatType.SEARCH;
        }
        final String type = value.toLowerCase(Locale.ROOT);
        if ("documents".equals(type)) {
            if (values.length > 5 && "favorite".equals(values[5])) {
                request.setAttribute(DOC_ID_FIELD, values[4]);
                return FormatType.FAVORITE;
            }

When the _access_ format is used, MinIO appends events as documents in an Elasticsearch index. For each event, a document with the event details, with the timestamp of document set to the event's timestamp is appended to an index. The ID of the documented is randomly generated by Elasticsearch. No documents are deleted or modified in this format.

		{"data/G_792/srv-tse/c/users/denis/documents/gestion!20locative/heritier/propri!E9taire/20190101_a2.03!20-!20m.!20heritier!20re!B4mi!20-!20proce!60s-verbal!20de!20livraison!20et!20de!20remise!20des!20cle!B4s!20acque!B4reurs!20-!204-!20livraison!20-!20lp!20promotion!20toulouse!20-!20encre!20et!20plume!20-!205!20de!B4c.!202019!20a!60!2012-49.pdf.ecc", errFileNameTooLong},
		{"data/G_792/srv-tse/c/users/denis/documents/gestionlocative.txt", nil},
	}