What the Data for This Category Looks Like
Data for condiment financing daily reports primarily comes from public corporate financing announcements, industry databases, and vertical financial media. The data updates daily, covering all disclosed financing events across all sub-categories of the condiment track that day. Each data entry includes seven fields: financing entity name, affiliated condiment sub-category (such as soy sauce, hot pot base, compound seasoning sauce), financing amount, financing round, investors, disclosure date, and associated supply chain link. Financing amount is labeled in ten thousand yuan or hundred million yuan. Disclosure dates use the YYYY-MM-DD standard format. The sub-category field must accurately match specific product types under the condiment category.
Constraints on Citation Sources and Traceability
Real-time daily data updates require the traceability workflow to support incremental pulling. This avoids interface timeouts and resource waste caused by full data pulls. Accurate matching of sub-category fields requires strict filtering of track labels during recall. This prevents mixing in financing data from other food and beverage categories. Multi-source data needs configured credibility weights to distinguish information priority between official announcements, media reports, and third-party databases. This ensures the accuracy of traceability results. Each data entry has multiple fields, including sensitive information such as amounts and rounds. Chunked storage must retain all key fields fully, to avoid missing information during traceability due to truncation.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recallCount | Top 8 entries | Condiment financing daily report entries are short, and the number of new daily entries is limited. 8 entries suffice to cover all relevant financing events that day, avoiding redundant recalls |
similarityThreshold | 0.75–0.85 | Keywords for financing events (such as company names, financing amounts, rounds) have high recognizability. A threshold that is too low will include irrelevant track data, while a threshold that is too high will miss marginally matching entries |
dataSourceRefreshInterval | 1 hour | Financing daily reports are real-time daily updated data. A 1-hour refresh interval ensures data timeliness, while avoiding frequent pulls that exceed data source interface limits |
sourcePriority | Official announcements > industry media > third-party databases | Officially disclosed financing information has the highest credibility. Media reports may contain paraphrasing errors. Third-party data requires secondary verification |
filterCondition | Track includes "condiment" and event type is "financing" | Accurately filters financing events from non-condiment tracks, avoiding recall of irrelevant data |
chunkSize | 500–800 characters | Each financing daily report entry contains multiple fields. This length fully retains all key information for a single event, avoiding truncation that causes traceability gaps |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: When calling the API to query condiment financing daily reports, returned results include financing entries from non-condiment tracks. Cause: The
filterConditionparameter is not configured, and no accurate filtering is applied to track labels. - Phenomenon: The response does not cite local knowledge base financing daily content, only displays generic responses, and the citation list has no corresponding entries. Cause: The
similarityThresholdis set too high, causing local knowledge base matching entries to fail to reach the recall threshold, or therecallCountis set too low, failing to recall enough entries. - Phenomenon: The system returns a 504 Gateway Timeout error. Cause: The
dataSourceRefreshIntervalis set too short, and therecallCountis set too high, causing the total data pulled and recalled in a single request to exceed the interface's carrying limit.
How to Verify Correct Configuration
- Manually upload one simulated condiment financing daily report data entry. Enter a targeted query in the FastGPT knowledge base test interface, and check if the recalled results include this entry.
- View the data source refresh log to confirm whether daily financing data is pulled and updated regularly according to the configured
dataSourceRefreshInterval. - Check the citation source module of the response to confirm that each recalled content is marked with the corresponding data source type and update time.
- Call the test API, pass the specified condiment track query parameters, and verify the number of returned entries and the completeness of their fields.
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.