What This Type of Data Looks Like
Financing daily report data for the software development sector mainly comes from publicly disclosed corporate financing announcements, record-filing information submitted by industry self-regulatory bodies, and third-party data service interfaces. Data is updated daily, covering financing projects of software development sector enterprises that completed record-filing or announcements on the same day. Each entry is a structured item containing fields including enterprise name, unified social credit code, financing round, financing amount (unit: ten thousand yuan), list of investors, financing completion date, affiliated technical track, post-money valuation of this round, etc. Field formats are uniformly text or numeric types, with no nested complex structures.
What Constraints These Characteristics Impose on Model Access and Configuration
Daily updated data sources require the scheduled task interval for model access to match the daily report update cycle, to avoid repeated data pulling or missed data. Structured fixed fields require the model's Function Call parameters to strictly correspond to preset field names, without adjusting the mapping relationship without authorization. Otherwise, missing or misaligned output fields will occur. Numeric financing amount fields require unit verification rules to be configured, to prevent numeric data not in ten thousand yuan from being mixed in. Multi-value investor fields require the model to support array-type parameter parsing, to ensure complete extraction of associated information. Semantic classification requirements for track fields require corresponding semantic mapping rules to be configured during access, to adapt to keyword expressions of different tracks.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
schedule_interval | 86400 seconds | Matches the daily update cycle of financing daily reports, ensuring pulling the latest complete data each day |
rag_recall_top_k | Top 3 entries | The number of daily financing projects in the software development sector is moderate; 3 entries can cover the core daily updates |
function_call_timeout | 30 seconds | The conventional response time of financing data interfaces is within 10 seconds; 30 seconds covers abnormal delay scenarios |
field_mapping_strict_mode | Enable strict matching | The fields of financing daily reports are fixed and uniformly formatted; strict matching avoids misaligned output fields |
array_field_split_char | Comma | The list of investors is a multi-value field; splitting by commas can fully extract associated investor information |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require targeted analysis, and it is recommended to conduct tests on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: The model output does not reference the original text fragments returned by the database, and only displays structured summaries of financing information. Cause: The
rag_enable_referenceconfiguration item is not enabled, and the database query results are not bound as context reference fragments. - Phenomenon: Frequent
invalid parametererror messages appear in model call logs, and the parameter list includes fields not defined in the data source. Cause: Strict verification offield_mapping_strict_modeis not enabled, allowing non-preset fields to be passed, resulting in chaotic parameter formats. - Phenomenon: The optional model list fluctuates each time the model is called, and the target model cannot be fixed for selection. Cause: The
model_selection_lockparameter is not configured to lock the target model, or the model service interface response is unstable, resulting in abnormal list pulling.
How to Confirm Configuration Is Complete
- Manually trigger a data pull, check if the returned fields completely match the preset financing daily report fields, to confirm that the field mapping configuration takes effect.
- Initiate a model call, check if the output results include the original text fragments returned by the database query, to confirm that the context reference configuration takes effect.
- Check the scheduled task execution logs, confirm that the daily pull time interval matches the preset configuration, with no repeated or missed pulls.
- Check the model call parameter logs, confirm that only preset field parameters are used, with no undefined parameters passed, to confirm that the strict mapping configuration takes effect.
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.