doc1.put("title", "Doc1");
        Map<String, Object> doc2 = new HashMap<>();
        doc2.put("title", "Doc2");
        newDocs.add(doc1);
        newDocs.add(doc2);

        assertTrue(qrList.addAll(newDocs));
        assertEquals(2, qrList.size());
        assertEquals(doc1, qrList.get(0));
        assertEquals(doc2, qrList.get(1));

        List<Map<String, Object>> moreDocs = new ArrayList<>();

                doc1.put("title", "Document 1");
                callback.store(initParamMap, doc1);

                Map<String, Object> doc2 = new HashMap<>();
                doc2.put("id", "2");
                doc2.put("title", "Document 2");
                callback.store(initParamMap, doc2);

                // Commit the changes
                callback.commit();
            }

            @Override

        doc1.put("content", "Test content 1");
        documentItems.add(doc1);

        Map<String, Object> doc2 = new HashMap<>();
        doc2.put("title", "Test Document 2");
        doc2.put("content", "Test content 2");
        documentItems.add(doc2);

        searchRenderData.setDocumentItems(documentItems);
        assertEquals(documentItems, searchRenderData.getDocumentItems());

        doc1.put("url", "http://example.com/install");
        msg.addSource(new ChatSource(1, doc1));
        final Map<String, Object> doc2 = new HashMap<>();
        doc2.put("title", "Quick Start");
        doc2.put("url", "http://example.com/start");
        msg.addSource(new ChatSource(2, doc2));

        final String result = chatClient.testBuildAssistantHistoryContent(msg, "source_titles", 500, 500);

        try (RankFusionProcessor processor = new RankFusionProcessor()) {
            processor.setSearcher(new TestSearcherWithFixedIds("doc1", "doc2", "doc3"));
            processor.register(new TestSearcherWithFixedIds("doc2", "doc3", "doc4")); // Some duplicates
            processor.init();

            }
        }

        // Sort all documents by fused RRF score (descending)
        final var fusedDocs = documentsByIdMap.values()
                .stream()
                .sorted((doc1, doc2) -> Float.compare(toFloat(doc2.get(scoreField)), toFloat(doc1.get(scoreField))))
                .toList();

        // Calculate offset based on documents not in main searcher's top results
        int offset = 0;

**Step 2: Format for Fess**

Create NDJSON file with required Fess fields:

```json
{"url":"http://example.com/doc1","title":"Document 1","content":"Full text content...","mimetype":"text/html"}
{"url":"http://example.com/doc2","title":"Document 2","content":"More content...","mimetype":"application/pdf"}
```

**Step 3: Bulk Import**

```bash
curl -X PUT "http://localhost:8080/api/admin/documents/bulk" \