What This Category’s Data Looks Like
Black goods investment research data sources include public industry monitoring data, official business disclosures from brands, third-party retail terminal statistics, patent public databases, and industry standard documents. Update frequencies vary: brand financial reports are updated quarterly, retail monitoring data weekly, industry standard documents annually, and patent data synchronized in real time. Documents include structured parameter tables (fields include product SKU, launch date, energy efficiency rating, market suggested retail price, monthly shipment volume), unstructured industry analysis text, and metadata fields, with units standardized to standard units such as RMB yuan, units, and pieces.
What Constraints Do These Characteristics Impose on the "Citation Source and Traceability" Workflow
Multi-source data with varying update frequencies requires the traceability system to support configuring different metadata extraction logic based on data source type. A high proportion of structured data requires the traceability feature to distinguish display formats for structured parameter citations and unstructured text citations. Differing data timeliness requirements mandate that data collection time windows must be marked in traceability to avoid mixing data across cycles. Some data has unique identifiers such as patent application numbers and product SKUs, requiring the traceability system to support precise matching or jumping via unique identifiers.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall Count | Top 8 | Black goods investment research data has moderate information volume per document. Too many recalled entries will cause context redundancy, while too few will fail to cover core parameters |
Similarity Threshold | 0.75–0.85 | Structured parameters have high matching precision requirements, so low-match irrelevant documents must be filtered out |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Large retail monitoring Excel documents take longer to parse, so sufficient time must be reserved |
Reranked Return Count | Top 5 | Investment research scenarios require prioritizing highly relevant core documents and controlling display length |
Metadata Extraction Rules | Configured per "source institution + collection time + data dimension" | Traceability identifiers vary widely across different data sources, so a unified extraction format is needed |
Global Citation Display | Enabled | Ensures citation traceability information can be properly displayed on official chat pages |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Citation documents are not displayed on the official chat page, but function normally on the debug page. Cause: The
Global Citation Displayconfiguration item is not enabled, or the "Citation Traceability Switch" in knowledge base settings is not turned on. - Symptom: Recalled citation documents do not include source markers for structured parameters. Cause: No extraction logic for structured fields is configured in the
Metadata Extraction Rules, only source information for unstructured text is extracted. - Symptom: The number of recalled citation documents exceeds expectations and cannot be limited by parameters. Cause: No combined restriction is applied using the
Recall CountandmaxContextparameters, only one of the two configurations is adjusted.
How to Verify Correct Configuration
- Upload a black goods retail monitoring Excel document, check if the parsed metadata includes fields such as source institution and collection time.
- Submit a query about the parameters of a specific TV model, check if the reply includes the traceability identifier of the corresponding document.
- Adjust the
Recall Countparameter, check if the number of returned citation documents matches the configured expectation. - Upload a patent document with a unique identifier, verify that the reply can jump to the original source page via the identifier.
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.