What the data for this category looks like
The data for personal care product financing daily reports comes from brand internal operation systems, dealer reconciliation ledgers, and financial institution financing application records. It is synchronized once per working day. Documents are stored in structured table format, with fields including brand entity name, SKU code, same-day terminal sales amount, regional dealer payment amount, financing application approval status, and associated supply chain inventory data. Field units are uniformly RMB yuan or 10,000 yuan. Some fields include text-type approval progress tags. Each document contains multiple sets of SKU-level associated data, with no additional unstructured redundant content.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
The SKU-level detailed structure requires multi-turn dialogue to support context-associated filtering by dimensions such as brand, region, and SKU category, to avoid repeated input of the same filtering conditions. The daily update rhythm requires prompts to clearly specify the query date range, to prevent the model from using historical data outside the current date by default. Fields mixing monetary values and approval statuses require prompts to clearly distinguish the logic between numerical calculation queries and status determination queries, to avoid confusing the unit specifications of sales amount and payment amount. The multi-source data nature requires the dialogue to allow users to supplement data statistical specifications, such as whether online channel sales are included.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Multi-turn dialogue needs to retain multiple rounds of filtering conditions. A sufficient context window prevents early filtering parameters from being lost |
Recall Count | Top 6–8 entries | Each daily report contains multiple sets of SKU data. A reasonable recall volume balances context length and information coverage |
Similarity Threshold | 0.75–0.85 | Must distinguish operational data of similar SKUs, to avoid confusion between financing-associated information of different categories |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Structured daily reports may contain a large number of SKU entries, requiring longer processing time for parsing |
UPLOAD_FILE_MAX_SIZE | 20 MB | Structured files for single personal care product financing daily reports usually fall within this size range, while avoiding parsing overload |
Segment Length | 1000–1500 characters | Long documents must be split into reasonable segments, to ensure the model can obtain SKU-level financing-associated data segment by segment |
The parameter values provided on this page are conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: When requesting to display SKU packaging images associated with financing daily reports in a dialogue, the model cannot return image links or display images. Cause: No automatic extraction rule for image URLs in the knowledge base is configured, or the multi-modal content recall switch is not enabled.
- Phenomenon: When calling the API to query financing daily report data, an error prompt indicating the specified knowledge base was not found is returned. Cause: The unique identifier ID of the knowledge base is not correctly filled in the API request parameters, or the knowledge base has not been granted external access permissions.
- Phenomenon: After multiple consecutive follow-up questions for financing data of multiple SKUs in a multi-turn dialogue, the model returns empty results or formatting errors. Cause: The
Recall Countparameter is not set to a reasonable value, resulting in too much irrelevant recalled data exceeding the model's context processing capacity.
How to Verify Proper Configuration
- Upload a single personal care product financing daily report test document. After confirming the knowledge base parsing is complete, verify that the parsed fields cover core items such as brand, SKU category, and sales amount.
- Initiate two or more rounds of dialogue, specify filtering dimensions in sequence and then ask for detailed data, to confirm the model can associate context and return results that meet the filtering conditions.
- Call the API interface with the target knowledge base identifier, send a query request, to confirm the returned results match the financing daily report data in the knowledge base.
- Check the configuration items for dialogue log cleaning, confirm that retention rules matching business needs have been set, and verify the change in the number of log entries after manually triggering cleaning.
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.