What the data for this category looks like
Public annual reports, semi-annual reports, and temporary announcements disclosed by domestic and overseas stock exchanges serve as data sources for cultural and entertainment products financial reports. Additional data includes segmented category operation briefs released by industry associations. Update schedules follow fixed disclosure cycles: annual reports release once per year, semi-annual reports release twice per year, and temporary announcements publish alongside major corporate events. Document structures include structured financial statements, breakdowns of business segment revenue, details of IP licensing and derivative businesses, risk warnings, and other modules. Fields cover category-specific metrics such as single-store revenue, inventory turnover days, IP partner names, and derivative sales proportion. Text includes dense proper nouns including trend toys, blind boxes, and collaborative cultural and creative products.
What constraints these characteristics impose on knowledge base retrieval and recall
Fixed disclosure cycles require knowledge bases to set scheduled sync tasks aligned with financial report release rhythms to avoid data lag. Mixed structured and unstructured document structures require distinguishing entity fields and business descriptions during retrieval to avoid confusing recall logic. Category-specific fields require binding category keywords during retrieval to prevent irrelevant recall data from other light industrial categories. Dense proper nouns require enabling entity recognition preprocessing to improve recall accuracy. Sudden temporary announcements require supporting incremental sync updates to adapt to rapid update needs.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Aligns with the typical length of business analysis paragraphs in cultural and entertainment products financial reports, avoids splitting that breaks business logic connections |
recall_top_k | Top 8 entries | Covers segmented metrics across multiple business segments in financial reports, meets multi-dimensional retrieval needs |
similarity_threshold | 0.72–0.78 | Distinguishes similar category revenue descriptions, filters irrelevant recall results from other light industrial categories |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Adapts to the page count scale of a single annual report PDF, reserves sufficient time for file parsing |
rag_re_rank_top_n | Top 3 entries | Focuses on core financial and business metrics, reduces redundant recall results |
knowledge_base_sync_cron | 0 0 2 , 0 0 12 * 1 | Matches fixed time windows after annual and semi-annual financial report disclosures to complete full knowledge base synchronization |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Symptom: A 503 status code returns when calling the knowledge base retrieval interface, with no errors when uploading a single small PDF. Cause: No reasonable
chunk_sizeis configured, triggering service resource rate limiting during long text parsing. - Symptom: An error occurs during the knowledge base question answering splitting stage, with the prompt "no valid fields detected". Cause: Financial report structured extraction configuration is not enabled, and segmented category revenue fields are not treated as independent retrieval entities.
- Symptom: The number of results returned after the workflow calls the knowledge base retrieval is insufficient, failing to cover required IP licensing business data. Cause: The
recall_top_kvalue is set too low, not matching the retrieval needs of multiple business segments in cultural and entertainment products financial reports.
How to verify successful configuration
- Run a file parsing task for a single cultural and entertainment products annual report, and confirm the number of parsed segments matches the expected number of business paragraphs.
- Manually enter query terms related to category revenue, and check whether recall results include corresponding financial report fragments and segmented fields.
- Adjust the
similarity_thresholdparameter, verify changes in recall result accuracy across different thresholds, and confirm alignment with business needs. - Check the knowledge base update log, and confirm that the latest financial report files have been imported and indexes updated according to the set sync schedule.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.