What the data for this category looks like
Data sources include public investment and financing disclosure databases, official announcements of listed and unlisted chemical pharmaceutical companies, and daily summaries from industry monitoring institutions. Updates are released daily at midnight, covering financing updates from the previous workday. Each record in the document structure includes the full name of the financing subject, financing round, financing amount (unit: ten thousand RMB or hundred million RMB), list of investors, disclosure date, and affiliated chemical pharmaceutical sub-sector (such as small molecule drugs, CDMO, generic drugs, etc.). For fields: the financing subject is a full string, financing round is a fixed enumeration value, financing amount is a numeric field with unit, investors are an array type, and the sub-sector field must match exclusive chemical pharmaceutical classification categories.
What constraints do these characteristics impose on the model integration and configuration process?
Publicly disclosed financing data has semi-structured features, with some key information hidden in paragraphs of pharmaceutical company announcements. This requires configuring a document parsing module during model integration to adapt to long text paragraph extraction. The daily update schedule requires configuring a scheduled synchronization task, and adjusting the model context window to accommodate multiple financing records summarized in a single day. Financing amounts use two units: ten thousand RMB and hundred million RMB, and financing rounds follow fixed enumeration rules. This requires the model to strictly match units and enumeration value ranges when identifying fields. The precise classification requirement for chemical pharmaceutical sub-sectors requires associating industry-specific tags during recall to avoid confusion with other medical sub-sectors such as medical devices and biopharmaceuticals.
How to set the configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 12000-16000 token | Daily summarized chemical pharmaceutical financing data totals approximately 8000-12000 token. Reserved space accommodates parsed text and system prompts |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Semi-structured pharmaceutical company announcement texts are lengthy. Conventional parsing takes over 60 seconds. Extend the timeout to avoid task interruptions |
recall_top_k | Top 10-15 entries | Daily chemical pharmaceutical financing records typically number 5-12. Recalling all entries covers complete information |
similarity_threshold | 0.75-0.85 | Precise matching of chemical pharmaceutical sub-sector and financing round enumeration rules is required. Filters irrelevant records |
workflow_trigger_cron | 0 1 * * * | Adapts to the schedule of updating previous workday financing data daily at midnight. Avoids conflicts with other scheduled tasks |
maxResponseTokens | 2000-3000 token | Structured output of financing daily reports requires sufficient length to organize fields, avoiding truncation of key 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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Symptom: The model's output financing daily report is truncated, only showing the first 4000 tokens of content, and cannot cover all single-day financing records. Cause: The
maxContextandmaxResponseTokensparameters are not adjusted, and default context limits are used. - Symptom: A "connection timeout" error pops up when configuring the model channel during local deployment, and model integration cannot be completed. Cause: Ports required for model calls are not opened in the local firewall, or the configured model API address does not point to the locally deployed service address.
- Symptom: When triggering a workflow via an API access link, global variables do not load the daily financing data fields. Cause: Data parameters in the API link are not bound to the global variable field mapping configuration, resulting in incorrect variable assignment.
How to confirm the configuration is complete
- Trigger a scheduled synchronization task, and check if all fields of the day's financing records are fully extracted in the parsing log, with no missing fields or unit errors.
- Call the model to generate a structured summary of a single financing record, and verify that the output includes complete financing subject, round, amount and sub-sector information, with no truncation.
- Check the error logs of the model channel configuration, and confirm there are no connection timeout or permission exception prompts.
- Verify that parameters passed by the API access link can correctly update global variables. After triggering, check that the field values in the variable panel match the day's public data.
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.