What the data for this category looks like
The data sources for chemical pharmaceutical intelligent due diligence include publicly submitted materials from the National Medical Products Administration (NMPA), clinical trial databases of the China Center for Drug Evaluation (CDE), global patent databases, annual reports of listed pharmaceutical companies, and publicly available research documents from industry associations. The data update rhythm varies by content type: clinical trial data is updated in real time alongside trial milestones, annual reports are updated per fiscal year, and patent information is updated upon authorization or publication. Document structures include structured submission forms, long-form clinical trial reports, patent specifications, financial detail tables, and more. Fields covered include compound registration numbers, clinical trial phases, active pharmaceutical ingredient purity, dosage form specifications, patent validity periods, and corresponding units such as %, mg/kg, mg/tablet, years, and other professional measurement identifiers.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Disparate, multi-source data requires multi-turn dialogue to first clarify the data scope the user is focused on, to avoid retrieving irrelevant medical data across categories. The diversity of professional fields and units requires prompts to explicitly specify unit rules for field extraction, to prevent missing or incorrectly formatted return results. The combination of long documents and multiple fields requires dialogue context to retain entity associations. For example, tracking the compound number the user inquired about allows linking corresponding clinical trial data in subsequent turns. Content with different update rhythms requires dialogue to synchronously prompt the update node of the currently referenced data, to prevent users from making decisions based on outdated information. Additionally, the large size of individual documents requires multi-turn dialogue context length to adapt to long-text retrieval needs, to prevent key information from being truncated.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Single documents for chemical pharmaceutical due diligence often exceed 5000 characters, requiring sufficient context to track entities such as compound numbers and trial phases across multi-turn dialogue |
recall_top_k | Top 6–8 results | Chemical pharmaceutical data has multiple dimensions, requiring sufficient retrieved segments to cover modules including clinical trials, patents, and finance |
similarity_threshold | 0.75–0.85 | High precision is required for professional term matching, to avoid retrieving irrelevant compounds or clinical trial data |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing long clinical trial PDFs or patent specifications requires extended processing time |
UPLOAD_FILE_MAX_SIZE | 500 MB | Individual patent submission documents or complete clinical trial reports have large file sizes |
chat_history_max_count | Top 10–15 turns | Multi-turn dialogue requires retaining entity associations, to avoid entity loss caused by context overflow |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test against one’s own samples before finalizing.
Three Common Mistakes
- Phenomenon: After batch uploading multiple chemical pharmaceutical due diligence documents, dialogue retrieves non-target document fragments from previous uploads. Cause: The configuration item "Only use the currently uploaded knowledge base" is not enabled, or the currently bound knowledge base ID is not specified in the dialogue invocation chain.
- Phenomenon: When initiating a dialogue, it is not possible to disable knowledge base reference, and return results always include content from external knowledge bases. Cause: The
enable_knowledge_base_retrievalconfiguration item is not set tofalse, or the prompt does not explicitly prohibit calling external knowledge base content. - Phenomenon: When passing a custom knowledge base ID variable to initiate a dialogue, a parameter format error prompt is triggered. Cause: The variable type is not set to string format, or the variable value does not comply with the valid 32-bit hexadecimal knowledge base ID format.
How to Verify Proper Configuration
- Upload a single chemical pharmaceutical due diligence document, initiate a non-multi-turn dialogue, and verify that the retrieved document segments only include the content uploaded this time, confirming that the context configuration and knowledge base scope settings are correct.
- Initiate two consecutive dialogue turns: first inquire about the registration number of a specific compound, then inquire about its corresponding clinical trial phase, and verify that the dialogue context retains the entity association of that compound, confirming that the historical dialogue configuration is reasonable.
- Attempt to pass a custom knowledge base ID variable to initiate a dialogue, verify that the variable is correctly recognized and no parameter format error prompt is triggered, confirming that the variable configuration and invocation chain are correct.
- Generate a dialogue sharing link, attempt to access it using an unauthorized account, verify that the system prompts for authentication before access, confirming that the sharing authentication configuration is effective.
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.