What the Data for This Category Looks Like
Chemical pharmaceutical industry financial report data is primarily sourced from regular reports officially disclosed by domestic and overseas stock exchanges, as well as official investor relations sections of enterprises. Updates follow fixed quarterly and annual report cycles, with irregular updates from temporary announcements such as R&D pipeline progress and major contract signings. Most documents are in PDF format, and include consolidated financial statements, management discussion and analysis, R&D expense breakdowns, supply chain cost structure details, patent-related disclosures and more. Fields covered include "R&D capitalized expenditure", "API unit cost", "Phase III clinical trial investment" and others. Units are mostly RMB ten thousand or hundred million, with some overseas disclosed documents using USD for pricing.
Constraints on Knowledge Base Retrieval and Recall
The multi-source, long-document and dense technical term characteristics of chemical pharmaceutical financial reports create multiple constraints for the retrieval and recall process. Different stock exchanges have large differences in report formats, so text extraction and professional field recognition across document formats must be supported. Irregular updates to R&D pipelines and temporary announcements require knowledge base incremental update mechanisms to adapt to high-frequency, small-batch document synchronization. Long documents contain closely linked financial fields and technical terms, so semantic breaks caused by cross-paragraph splitting must be avoided. Matching logic for exclusive terms such as "API" and "generic drug consistency evaluation" must also be optimized. Some reports use mixed units, so a unit verification step must be added after retrieval to prevent returning results where values and units do not match.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Single annual report PDF for chemical pharmaceuticals often exceeds 50 pages, parsing takes a long time, default timeout duration is insufficient to cover the full parsing process |
maxContext | 8000–12000 characters | Financial reports contain long paragraphs of management discussion and analysis and detailed tables, so sufficient context is required to preserve semantic integrity |
recall count | Top 8–10 results | Documents with dense technical terms require sufficient recall volume to cover relevant segments and avoid missing key R&D or financial fields |
similarity threshold | 0.72–0.78 | The similarity requirement for chemical pharmaceutical terms balances precision and recall rate. Too low will include irrelevant documents, too high will miss relevant segments |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single annual financial report PDF can reach hundreds of MB in size, so the uploaded file size limit must be relaxed |
re-ranked return count | Top 4–6 results | Retain core relevant segments after re-ranking recall results to avoid redundant information interfering with retrieval results |
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, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: An error
fail to create post presigned urlis returned when uploading a single annual financial report PDF. Cause: The access key configuration for object storage is not completed, or the storage bucket region does not match the FastGPT backend settings. - Phenomenon: When retrieving a specified financial report dataset, results include documents outside the target dataset. Cause: The target dataset ID is not bound in the retrieval node, or the retrieval scope is not locked to the specified dataset via configuration items.
- Phenomenon: When importing CSV-format detailed tables of chemical pharmaceutical financial reports, the system prompts
datasetId is required for S3 files. Cause: The dataset ID of the corresponding knowledge base is not associated when uploading the file, or the S3 storage configuration does not bind the target dataset parameter.
How to Confirm the Configuration Is Correct
- Upload a chemical pharmaceutical financial report PDF with more than 100 pages, check that the parsing progress completes normally and no timeout errors occur.
- Retrieve exclusive terms such as "R&D capitalized expenditure" and "API unit cost", verify that the document sources of the recall results are the configured target dataset.
- Import a small CSV-format detailed financial report data, check that the import process completes normally and no field missing or permission errors occur.
- Enable the enhanced PDF parsing function based on minerU, check that the parsed text retains the row and column structure of financial tables and no garbled characters or field misalignment occurs.
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.