What the data for this category looks like
Chemical pharmaceutical financing daily report data is sourced from public regulatory disclosure platforms and public entries from industry investment and financing databases. Updates sync with daily investment and financing event disclosures, and are delayed on holidays. The document is a structured table in a single worksheet, with fields including full name of financing entity, chemical pharmaceutical sub-sectors (e.g., small-molecule chemical drugs, CDMO services), financing amount, pricing currency, financing round, investor list, disclosure date. Amount units are ten thousand RMB or ten thousand USD, and date format is YYYY-MM-DD.
Constraints on Multi-turn Dialogue and Prompt Engineering
The structured fields of chemical pharmaceutical financing daily reports include differentiated content such as sub-sectors and pricing currencies. Multi-turn dialogue must first clarify the scope of sub-sectors that the user cares about, to avoid returning irrelevant cross-sector financing information. The daily update feature requires the dialogue flow to support real-time retrieval of the latest worksheet data. It is necessary to limit the expired data filtering logic for dialogue context. The format where financing amount is tied to currency in the fields requires clear unit validation rules in the prompt, to prevent confusion between RMB and USD amounts. The fixed field order of the structured table requires dialogue parsing to match the specified field names, to avoid information extraction errors caused by field misalignment.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Chemical pharmaceutical financing daily reports have many fields. Multi-turn dialogue must retain multi-turn filtering conditions such as sub-sectors and currencies, to avoid context overflow |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Batch summary files of chemical pharmaceutical financing daily reports may contain a large number of entries, leading to long parsing times |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapts to the size of conventional batch financing daily report summary files, to avoid upload failures |
similarity_threshold | 0.75–0.85 | Filters low-similarity queries unrelated to chemical pharmaceutical financing, while retaining precise matching of sub-sectors |
max_history_length | First 3 turns | Multi-turn dialogue only needs to retain recent filtering conditions such as sub-sectors and currencies. Excessively long history will interfere with current queries |
PARSE_FILE_EXCEL_SHEET_INDEX | 0 | Chemical pharmaceutical financing daily reports usually only contain a single structured worksheet, so there is no need to switch sheet indexes |
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 Mistakes
- After uploading a chemical pharmaceutical financing daily report in XLSX format, the dialogue interface becomes unresponsive, and the console returns a
413 Request Entity Too Largeerror. Cause: TheUPLOAD_FILE_MAX_SIZEparameter was not adjusted, and the uploaded file size exceeds the default limit. - When calling the dialogue interface, the model's returned answer does not match the user's actual input query, and the user's question cannot be parsed correctly. Cause: The
user_queryvariable name was not used correctly to pass user input content, causing the model to fail to obtain valid query context. - The generated dialogue history in the debug preview cannot be cleared, and there is no specified application history deletion entry in the workspace interface. Cause: The built-in
Clear Dialogue Historyoperation node was not called, and application configuration and session context storage were not separated.
How to Confirm Proper Configuration
- Upload a test chemical pharmaceutical financing daily report in XLSX format, check if the parsed fields match the source file, to confirm that file parsing related configurations are effective.
- Initiate a multi-turn dialogue, sequentially input different chemical pharmaceutical sub-sector and currency conditions, check if the returned financing information conforms to the filtering rules, to confirm that context and recall configurations are effective.
- After initiating a dialogue, call the built-in clear operation, check if the debug preview history record is cleared, to confirm that history clearing configurations are correct.
- View the application's log panel, confirm that the
user_queryvariable is passed correctly, with no null values or incorrect content, to confirm that dialogue variable configurations are 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.