What the Data for This Category Looks Like
The data sources for black goods research reports primarily include third-party home appliance industry monitoring institutions, home appliance industry teams from securities research institutes, and public reports from home appliance industry associations. Data updates follow industry release cycles: high-frequency monitoring data is updated weekly, while regular research reports are released quarterly or annually. Documents mostly use mixed formats, including textual analysis, structured data tables, and trend charts. Fields cover product category segmentation, shipment scale, retail unit price, market share, and similar metrics. Typical units are ten thousand units and yuan per unit. Some documents also include structured CSV or Excel attachments of raw data.
How These Characteristics Impact Citation Source and Attribution Workflows
Differences across multiple data sources can lead to inconsistent statistical definitions. For example, different institutions may distinguish between factory gate and retail metrics when calculating "shipment volume". Attribution must clearly label the statistical rules for each result to avoid user confusion. Mixed-format documents contain unstructured PDF text and structured attachments. Separate parsing rules must be configured to ensure chart data can be linked back to the original source. Data with varying update frequencies requires priority sorting. High-frequency weekly monitoring data should be recalled first, preventing expired annual reports from being prioritized for display. The large number of segmented product categories also requires attribution information to be accurately bound to specific product categories, preventing incorrect association of cross-category data sources.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
segment length | 800–1200 characters | Black goods research reports contain technical terms and structured data tables. This segment length preserves field associations and avoids loss of statistical definition information |
recall count | top 6–8 results | Black goods research report data sources are dispersed. Coverage of statistical definitions from different institutions is required, and excessive results will interfere with attribution precision |
similarity threshold | 0.72–0.80 | Black goods have many segmented product categories and high similarity in technical terms. This threshold filters low-relevance results while retaining multi-source data for the same category |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Large black goods research report PDFs contain multi-page charts and structured attachments, leading to long parsing times. This duration covers the full processing workflow |
SOURCE_MARK_FORMAT | Data Source: {org}, Release Date: {date} | Clearly label the data source entity and release time to meet the attribution requirements of multi-source data |
reordered return count | top 3–4 results | The most relevant attribution results should be displayed first, preventing users from accessing excessive irrelevant data sources during attribution |
The parameter values provided on this page are common recommended 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 Mistakes
- Scenario: After uploading a local black goods research report file in a custom workflow, the attribution result shows no associated file. Cause: The tool call only supports uploading file links, and no variable mapping rules for local file uploads are configured, resulting in the file not being correctly loaded into the database.
- Scenario: A 504 Gateway Timeout error occurs when parsing large black goods research report PDFs. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the default parsing duration is insufficient, causing the parsing process to time out and interrupt. - Scenario: Retrieved attribution information only displays the data source institution and does not include the release time. Cause: The
SOURCE_MARK_FORMATparameter is not configured, or the{date}placeholder is omitted from the parameter, resulting in failure to extract and display the release time information.
How to Confirm the Configuration Is Correct
- Upload a black goods industry research report PDF, view the parsed text fragments, and confirm there are no obvious segment breaks and that all field information is complete.
- Initiate a research report retrieval for a black goods segmented product category, check the attribution labels for each result, and confirm that both the data source entity and release time are included.
- Test the research report upload step in the custom workflow. Confirm that an associated attribution result is generated normally after uploading a file link, or confirm that the local file upload variable configuration meets tool call requirements.
- Adjust the similarity threshold, initiate a retrieval, observe changes in the number of recalled results, and confirm the filtering effect matches the configured expectations.
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.