What the Data for This Category Looks Like
Marketing content for chemical pharmaceuticals is used by financial insurance and wealth management institutions to create materials for chemical pharmaceutical companies. Data sources include internal compliance marketing documents from pharmaceutical companies, public academic journals, public filings from drug regulatory authorities, and promotional materials from partner academic institutions. Updates occur on an irregular schedule, tied to new drug approvals, changes to compliance requirements, and quarterly marketing data updates.
Each document typically includes fields such as generic drug name, brand name, registration certificate number, indication scope, dosage and administration, contraindicated populations, compliant promotion boundaries, and target audience positioning. Dosage and administration use units including mg, ml, and g; treatment courses use days or weeks as units. Registration certificate numbers are fixed-format strings.
Constraints Imposed by These Characteristics on Tool Calling and Plugins
For the marketing scenario of chemical pharmaceutical clients in the financial insurance and wealth management industries, chemical pharmaceutical marketing content contains structured fields such as clear compliant promotion boundaries and registration certificate numbers. When calling tools, compliance of compliant fields must be verified first to avoid generating off-indication marketing content.
Documents have fixed-format dosage units and registration certificate numbers. Plugins must support structured field extraction and unit retention to prevent information distortion. Marketing content is updated irregularly with new drug approvals, so a triggerable knowledge base synchronization mechanism must be configured to ensure the latest version of materials is used during calls.
Individual marketing documents are lengthy. The tool calling context window must support long-text processing to avoid truncating critical compliance prompts and indication information.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Adapts to the characteristic that chemical pharmaceutical marketing documents often contain long paragraphs of clinical trial data and compliance explanations, avoiding truncation of critical information |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Chemical pharmaceutical documents often contain complex structured tables and long text; extending the parsing timeout prevents termination before parsing completes |
Recall Count | Top 8–10 results | Chemical pharmaceutical marketing content has high compliance requirements; sufficient compliant materials must be recalled to support generation, while avoiding redundant information interference |
Similarity Threshold | 0.75–0.85 | Chemical pharmaceutical content has many professional terms; a relatively high matching accuracy must be retained to ensure recalled content is highly relevant to marketing needs |
UPLOAD_FILE_MAX_SIZE | 500 MB | Chemical pharmaceutical marketing documents may include batches of academic journals and clinical trial reports; allowing large file uploads covers complete materials |
Reranked Return Count | Top 3–5 results | Prioritizes displaying the most relevant compliant materials, reducing information filtering costs |
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 individual analysis; it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Issue: When using the Doc2x plugin to process uploaded chemical pharmaceutical documents, extracted dosage units are missing. Cause: The unit retention option was not enabled in the plugin configuration, and only numerical content was extracted.
- Issue: After generating marketing content via FastGPT API calls, the associated knowledge base document file name for this call is not returned. Cause: The source file return parameter was not configured in the API request, or the knowledge base source file storage switch was not enabled.
- Issue: In FastGPT version 4.8.14, the <Reference> tag in the System prompt does not populate with knowledge base recalled content. Cause: Knowledge base recalled context was not correctly injected into the corresponding placeholder position in the System prompt, resulting in incomplete template replacement.
How to Verify Proper Configuration
- Upload a chemical pharmaceutical marketing document containing structured fields, wait for parsing to complete, then check if the extracted fields in the knowledge base management interface include exclusive content such as generic drug names and registration certificate numbers.
- Initiate a knowledge base call test, check if the <Reference> placeholder in the System prompt has been populated with recalled document content.
- Call the tool to generate marketing content, confirm if the returned result is associated with the knowledge base document file name used for this call (if source file return was configured).
- Use the Doc2x plugin to process a single document, check if the structured data output by the plugin includes preset dosage units and compliance boundary fields.
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.