What the data for this category looks like
Consumer construction materials financial report data primarily comes from listed company annual reports, publicly disclosed documents from stock exchanges, and monthly operation reports from industry associations. The update schedule follows: annual reports are released within four months after the end of the fiscal year, quarterly reports are released within one month after the end of each quarter, and industry reports are updated monthly. Most documents are in PDF format, containing structured financial statements, capacity breakdowns, and revenue breakdown tables. Fields include current period revenue, cost per unit area, and production cost per ton. Units involved include ten thousand yuan, square meters, tons, and others.
What constraints do these characteristics impose on the "citation sources and traceability" link
Sources of consumer construction materials financial report data are scattered, covering listed company announcements, exchange disclosure documents, and industry association reports. The traceability link requires establishing association and verification logic for multi-source data. There are differences in update schedules: annual, quarterly, and monthly data need to match different update trigger logic. Documents contain structured tables and long text; when splitting, the binding relationship between fields and units must be retained to avoid losing corresponding information during traceability. There are differences in field units: measurement standards vary across different sub-categories, so original unit labels must be retained during traceability.
How to set the configuration
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
recall count | 8–12 top results | Consumer construction materials financial report documents have a large number of chunks after splitting; too many recalls will introduce redundant content, while too few will miss key data for sub-categories |
similarity threshold | 0.72–0.85 | Structured field matching accuracy requirements for consumer construction materials financial reports are high; a threshold that is too low will introduce irrelevant document chunks, while a threshold that is too high will miss relevant sub-category data |
PARSE_TABLE_STRICT_MODE | Enabled | Consumer construction materials financial reports contain a large number of revenue breakdown tables by sub-category; enabling strict mode retains the association between fields and units |
knowledge base update cycle | Quarterly + monthly | Matches the disclosure schedule of annual and quarterly financial reports and monthly industry reports |
UPLOAD_FILE_MAX_SIZE | 200 MB | Single consumer construction materials annual report PDF is typically 50–150 MB; setting a reasonable upper limit avoids parsing timeouts |
reranked result count | 4–6 top results | Rerank the recalled financial report document chunks to retain the most relevant traceability fragments and avoid redundancy |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: Knowledge base variable references fail to display the page number or paragraph position of the original document. Cause:
PARSE_TABLE_STRICT_MODEis not enabled, resulting in failure to correctly split the fields of structured tables and unable to locate specific traceability positions. - Symptom: Disk usage of the locally deployed FastGPT exceeds expectations, and a
disk fullerror appears in logs. Cause:UPLOAD_FILE_MAX_SIZEis not set, resulting in repeated uploads of large-volume annual report PDFs and excessive disk space occupied by embedded vectors. - Symptom: Recalled financial report document chunks do not include revenue data for sub-categories. Cause: The
similarity thresholdis set too high, failing to match financial report chunks for the corresponding sub-categories.
How to confirm the configuration is correct
- Upload an annual report of a listed consumer construction materials company, enter the knowledge base management page, and check whether the parsed document chunks retain the association information between fields and units.
- Initiate a financial report analysis conversation, and check whether the traceability column of the returned results displays the file name, page number, or paragraph position of the original document.
- Enter the system disk monitoring page, and confirm that disk usage only includes three types of data: original files, split file chunks, and embedded vectors.
- Adjust the
similarity thresholdto around 0.75, and verify that the number of recalled results falls within the 8–12 range.
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.