What the data for this category looks like
The black home appliance financing daily report data is sourced from financing ledgers of upstream and downstream home appliance supply chain manufacturers, regional distributors, and corporate operational financing records from credit reporting systems. It updates fully for the previous day’s data every early morning. The document uses a structured table format, with fields including financing entity name, affiliated home appliance category (e.g., LCD TV, drum washing machine), daily new financing amount, cumulative financing balance, loan disbursement date, repayment due date, and more. All monetary amounts use ten thousand yuan as the unit, and the term field uses natural days or natural months as units.
Constraints on Multi-turn Dialogue and Prompt Engineering
The daily update requirement means multi-turn dialogue must call the latest parsed data in real time. It cannot rely on cached old data. The fields include multiple segmented dimensions. Multi-turn dialogue must gradually guide users to clarify the two core query conditions: financing entity and home appliance category. This avoids returning redundant data. The requirement to use ten thousand yuan as the monetary unit must be explicitly defined in the prompt. This prevents unit errors between yuan and ten thousand yuan. The structured table document format requires the dialogue flow to accurately match the field names in the table. This avoids field identification discrepancies.
Configuration Settings
| Configuration Key | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000-12000 characters | Black home appliance financing daily reports contain financing data for multiple distributors. Sufficient context length can accommodate complete query matching and result display |
prompt_template | Answer solely based on uploaded black home appliance financing daily report data, explicitly mark the monetary unit as ten thousand yuan, and prioritize matching the user-specified home appliance category and financing entity | Avoid interference from cross-category data, unify unit display, and improve query accuracy |
Recall count | Top 6 entries | The number of distributors in a single black home appliance financing daily report is typically 5 to 8. Too many recalled results will cause redundancy, while too few may miss target data |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Black home appliance financing daily reports are mostly multi-page structured tables. The parsing process takes a long time, and 300 seconds covers the parsing needs of most documents |
similarity_threshold | 0.75 | Precise matching of user-specified home appliance category and financing entity is required. A threshold of 0.75 can filter low-correlation non-target data |
UPLOAD_FILE_MAX_SIZE | 200 MB | Supports batch uploading of multiple monthly summary black home appliance financing daily report documents, preventing upload failures due to oversized files |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Issue: Form input fields configured in the workflow do not appear in the dialogue, and the interaction content is empty. Cause: The parameters for form input are not declared in
prompt_template, and form fields are not bound to the dialogue context. - Issue: A 413 status code is returned after calling the API to upload a black home appliance financing daily report document. Cause: The uploaded document size exceeds the configured value of
UPLOAD_FILE_MAX_SIZE, exceeding the platform's allowed upload limit. - Issue: The financing data returned by the dialogue uses yuan as the unit instead of ten thousand yuan. Cause: The prompt does not explicitly require marking the monetary unit, and no unit verification is performed on the parsed fields, resulting in errors in data display.
How to Verify Proper Configuration
- Upload a sample black home appliance financing daily report document. Check that the parsed fields include financing entity, home appliance category, loan amount, repayment due date, and that monetary fields are marked with the ten thousand yuan unit.
- Initiate a multi-turn dialogue. Enter "Query the financing status of a distributor" followed by "Query the LCD TV category" in sequence. Check that the dialogue can gradually clarify the query conditions and return the corresponding data entries.
- Call the API to upload the document. Check that the returned status code is 200, and the document parsing result includes all required fields with no formatting issues.
- Adjust
similarity_thresholdto 0.75. Test querying financing data for non-black home appliance categories. Check that irrelevant results are filtered out and not returned.
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.