What data for this category looks like
Hotel and catering financing daily report data comes primarily from local catering industry monitoring institutions, catering credit ledgers from partner financial institutions, and regional hotel operation data platforms. Full synchronization is completed after the end of each natural day. Documents are split by individual hotel or single catering location. Core fields include full financing entity name, credit limit, loan date, financing purpose, and partner financial institution. The statistical cycle field is marked as natural day, with no additional nested sub-documents.
What constraints these characteristics impose on knowledge base retrieval and recall
The multi-source data origins require the retrieval process to support unified field mapping across platforms. This prevents recall bias caused by inconsistent field names across different data sources. The daily update rhythm requires recalling the most recent 1-2 cycles of data first. This avoids returning expired financing information. Fields with clear numerical units require matching unit keywords during retrieval. This prevents confusion between credit limits and single transaction amounts. The single-location split document structure requires aggregating results by financing entity after recall. This reduces interference from duplicate content on retrieval performance.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 800–1200 characters | Hotel and catering financing daily reports have many fields per document. Values that are too long will exceed context window limits, while values that are too short will lose critical financing information |
Recall count | Top 6–8 results | The number of financing entities in a single region is concentrated. Too many results will cause redundancy, while too few will miss potential financing entities |
Similarity threshold | 0.75–0.85 | Financing information requires precise matching of entity names and amount units. A threshold that is too low will introduce irrelevant catering transaction data, while a threshold that is too high will miss location information with similar names |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Batch import of multi-source data takes longer per document parsing. A timeout will cause some data to fail indexing |
Knowledge Base Refresh Cycle | 23:00 daily | Daily report data is synchronized within 12 hours after the end of the natural day. Setting an early refresh ensures the latest information is available during retrieval |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- When calling the knowledge base retrieval API, a
quote type erroris returned. The cause is that the financing entity name parameter passed during retrieval is not wrapped in standard double quotes, leading to format parsing failure. - When using versions below v4.8.10 to call the workflow API for nested knowledge bases, a null value is returned. The cause is that older versions do not fix the context passing bug for nested knowledge base workflows.
- Expired financing information across cycles appears in retrieval results. The cause is that the knowledge base refresh cycle is set later than the daily data update time of the data source, resulting in failure to synchronize the latest daily report data.
How to confirm correct configuration
- Upload a single hotel and catering financing daily report document. Check if the parsed fields fully match core preset items such as financing entities and credit limits, to confirm the field mapping configuration is active.
- Initiate a retrieval request for a specified location. Verify that the loan dates in the returned results fall within the most recent two natural days, to confirm the refresh cycle configuration is correct.
- Adjust the similarity threshold and initiate multiple retrieval requests. Compare changes in the number of results, to confirm the threshold configuration’s impact on retrieval accuracy meets expectations.
- Call the workflow API to initiate a retrieval. Check if the returned results contain correct field information, to confirm the API call parameter format is correct.
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.