What the Data for This Category Looks Like
The data for biologics financing daily reports is primarily sourced from pharmaceutical venture capital databases, publicly listed pharmaceutical company announcements, industry investment and financing information platforms, and regulatory agency-related disclosure documents. It is updated daily, covering all financing transactions completed on the same day in the biologics sector. The document structure uses individual financing projects as the basic unit, including fields such as target name, financing round, transaction amount, investor lineup, financing completion time, biologics sub-sectors (such as vaccines, gene therapy, monoclonal antibody drugs), and post-money valuation. Amount units are mostly RMB or USD; some cross-border financing transactions will note dual currency information.
Constraints for Multi-turn Dialogue and Prompt Engineering
The multi-source data sourcing for biologics financing daily reports requires prompts to clearly specify data source priorities, to prevent the model from confusing information formats across different platforms. The presence of sub-sector fields requires that multi-turn dialogue must gradually guide users to clarify sub-sector keywords; otherwise, the model may return irrelevant financing items across tracks. The diversity of amount units requires prompts to enforce unified output units, to avoid currency confusion. The daily update feature also requires regular cleanup of conversation contexts, to prevent expired financing data from interfering with current query results.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | First 8 conversation turns | Biologics financing daily report data is updated frequently. Excessive historical context will introduce expired financing information; limiting the number of turns reduces interference from redundant data |
systemPrompt | Clearly require unified output of RMB or USD units, prioritize labeling biologics sub-sectors, and only display financing items updated on the same day in each conversation | Biologics financing involves multiple currencies and sub-sectors; unified unit and sub-sector labeling reduces ambiguity. Limiting data to the same day avoids confusion from cross-period information |
contextClearTrigger | Automatically trigger at 00:00 daily | Financing daily reports are updated daily. Cross-date context will include expired data; automatic cleanup ensures the timeliness of queried data |
recallTopK | Top 10 recalled results | The number of daily financing projects in the biologics sector is moderate. Too many recalled results increase the model's processing load, while too few may miss key financing information |
similarityThreshold | 0.75 | Match user queries for biologics financing keywords, filter out irrelevant financing information outside the biologics sector |
workflowTimeout | 300 seconds | Biologics financing data may be sourced from multiple databases; this timeout setting ensures complete retrieval of all relevant transaction information |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: The SQL query results displayed in the AI dialogue box only show some basic fields, and do not include biologics financing sub-sector and post-money valuation fields. Cause: The prompt does not explicitly require recalling and displaying all dedicated business fields, causing the model to automatically truncate output content.
- Phenomenon: When querying the daily financing report again after multiple turns of dialogue, the returned results include old financing information from 3 days prior. Cause: No automatic context cleanup rule configured for time periods; expired data carried in old conversation contexts interferes with the model's judgment of the current date.
- Phenomenon: After configuring the context cleanup rule, subsequent dialogues cannot associate previously valid query conditions. Cause: The context cleanup trigger was incorrectly set to end of each conversation. The correct trigger condition is based on a preset time period or explicit user instructions.
How to Verify Correct Configuration
- Initiate a query that includes a biologics sub-sector, and check whether the returned results only include financing items updated on the same day, with unified amount units.
- Launch more than 8 consecutive relevant queries, and check whether the model introduces non-same-day old financing data, to verify that the context restriction rule is effective.
- Trigger the context cleanup operation, then launch the same initial query, and check whether the result matches the first query, to verify that the context reset function works correctly.
- Configure a test with a low number of recalled results, launch a query, and check whether the number of returned results matches the preset recall rule.
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.