What This Category's Data Looks Like
Financial report data for the kitchen and bath appliance category comes primarily from annual and quarterly official reports of listed kitchen and bath appliance enterprises, plus monthly shipment data released by third-party industry monitoring institutions. Update schedules follow fixed cycles: annual and quarterly reports are updated on a set timeline, while industry monitoring data is updated monthly. Documents combine structured tables and paragraphs, with fields including category-specific revenue, channel share, unit cost, and shipment volume. Revenue and shipment volume use units of ten thousand yuan and ten thousand units respectively. Gross margin is marked as a percentage.
Constraints Imposed by These Characteristics on Knowledge Base Retrieval and Recall
A large number of structured fields such as category-specific revenue and channel share require precise matching of category keywords and indicator fields during retrieval. This avoids retrieving irrelevant broad-industry content. The update schedules of different data sources vary greatly. Incremental update tasks must be configured to distinguish synchronization cycles for financial reports and industry monitoring data. This prevents mixing of old and new data. Unit fields in structured tables must be identified to avoid unit confusion in retrieval results. Additionally, financial report content has strict compliance requirements. Retrieved data must come from official public channels, excluding non-compliant content.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single kitchen and bath financial report files typically range from 10–50 MB, with long parsing times. 300 seconds covers most file parsing requirements. |
chunk_size | 800–1200 characters | Financial reports contain long paragraphs and structured tables. This segment length preserves the association between indicators and context, avoiding damage to data integrity from splitting. |
top_k | Top 8 entries | Kitchen and bath category financial reports have many indicator dimensions. A sufficient number of relevant entries must be retrieved to support analysis, while avoiding redundancy. |
similarity_threshold | 0.75–0.85 | Low-correlation broad industry content must be filtered to precisely match specific category indicators in financial reports. |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single annual financial report PDFs typically do not exceed 50 MB. This value reserves sufficient space for batch upload scenarios. |
rerank_top_n | Top 3 entries | Retrieved entries must be re-ranked to focus on the most relevant core financial report data, improving analysis efficiency. |
The parameter values provided on this page are standard recommended starting points for configuration. Actual values are influenced by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before making final decisions.
Three Common Misconfigurations
- Phenomenon: Disk read/write peaks occur at fixed times each day, triggering resource exhaustion alerts. Cause: Incremental update tasks are not configured, and the vector database is fully regenerated daily, leading to overload of disk IO and memory usage.
- Phenomenon: After deleting a question-answer pair from the knowledge base in the backend, the corresponding content still appears in retrieval results. Cause: Vector database synchronization refresh is not manually triggered, and old vector data is not removed from the index.
- Phenomenon: When uploading financial report files, tasks get stuck at the "1 group index" or "2 group index" stage with no clear error message. Cause: When using the
m3e-largemodel, thebatch_sizeparameter is not adjusted, and the single-batch data processing volume exceeds the model's carrying limit.
How to Verify Correct Configuration
- Perform a single financial report file upload, check that the corresponding parameters are effective in the parsing log, and no timeout errors occur.
- Initiate a retrieval test, input specified category indicator keywords, and verify that the field units of retrieval results match the original documents.
- After configuring the incremental update task, check the synchronization log to confirm that only newly added or modified data sources are updated, with no full reconstruction operations.
- Test the permission control function, use a non-authorized account to initiate retrieval, and confirm that confidential financial report data cannot be accessed.
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.