What data for this category looks like
Data sources for professional chain store financial report analysis include offline store POS cash register systems, headquarters ERP financial modules, and regional operation daily and weekly reports. Store-level data syncs daily. Quarterly financial reports are uploaded in bulk per fiscal quarter. Documents are either structured files with multiple worksheets or flat JSON formats. Core fields include store code, monthly revenue, sales per square meter, inventory turnover days, and total employee compensation. Units include CNY, square meters, and person-times. Some cross-regional chain reports include nested structures with regional summary fields and store detail fields.
What constraints do these characteristics impose on the citation source and traceability link
The scattered nature of store-level data requires binding a unique store code during traceability. This prevents mixing revenue data from different stores. The nested structure of multiple worksheets requires accurate matching of worksheets to data blocks during traceability. This prevents referencing incorrect store details. Differences in report fields across regional chains require configuring unified field mapping rules during traceability. This ensures consistent traceability for cross-regional data. Bulk-uploaded quarterly financial reports require verifying data collection timestamps during traceability. This prevents historical data from cross-periods being used for current-period analysis. Large volumes of segmented store data blocks increase context redundancy. This requires limiting the number and scope of recalled content during traceability to keep analysis results focused.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | Top 10-15 entries | Professional chain financial reports contain large volumes of store-level segmented data. Too many recalled entries cause context redundancy, too few fail to cover all store data required for full analysis |
similarity threshold | 0.75-0.85 | Financial report data fields have clear semantics. A threshold that is too low introduces unrelated non-associated data from other stores, a threshold that is too high fails to recall associated data blocks from the same store |
PARSE_FILE_MAX_SIZE | 2000 MB | Chain store financial reports may include bulk report files for multiple stores. Larger single-file upload support is required to adapt to bulk aggregation scenarios |
reranked return count | Top 5-8 entries | Core store data most relevant to the financial report analysis theme must be returned first to quickly locate key evidence during traceability |
data source timestamp verification switch | Enabled | The collection time of referenced data must be verified to prevent historical data from cross-fiscal quarters from being used for current-period financial report analysis |
field mapping rule | Associate original data fields by store code | The core association dimension of chain store financial reports is the store code. Precise matching of original data for the corresponding store must be ensured during traceability |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Citation results include raw data not linked to a store code. This occurs when
field mapping ruleis not configured. Recalled data blocks cannot be bound to their corresponding stores, so precise data source location is impossible during traceability. - Knowledge base disk usage exceeds expected levels. This occurs when a reasonable upper limit for
recall countis not configured. Large volumes of duplicate store data blocks lead to repeated embedding vector generation. It also occurs when single-file upload size is not restricted, leading to redundant files occupying significant storage space. - Referenced data timestamps do not match the financial report analysis cycle. This occurs when the
data source timestamp verification switchis not enabled. Historical data from cross-fiscal quarters is incorrectly used for current-period financial report analysis, which affects analysis result accuracy.
How to confirm configurations are correct
- Upload a test monthly chain store report, trigger a financial report analysis task, and check the citation source module in returned results. Confirm each citation includes a store code and data collection timestamp.
- Access the knowledge base management interface, view uploaded file occupancy statistics. Confirm only three types of data exist: original files, segmented blocks, and embedding vectors. No redundant unassociated temporary files are present.
- Adjust the
similarity thresholdto 0.7, test recalled results, and confirm unrelated non-associated data from other stores is not introduced. Then adjust the threshold to 0.85, confirm associated data blocks from the same store can be recalled. - Check task execution logs, confirm the
data source timestamp verification switchis active. Historical data from cross-fiscal quarters is automatically filtered and does not appear in the citation list.
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.