What this category of data looks like
Documents for biologic product-themed marketing within the financial industry are sourced from product filing materials of financial institutions, public research and product materials provided by biologic product enterprises, industry research reports, and public information from regulatory bodies. Update frequency is adjusted irregularly alongside the R&D progress of biologic product enterprises and the iteration of marketing activities for financial products. Document structures include structured tables (such as biologic product parameter comparison tables, clinical trial data summary tables, financial product return comparison tables), long-form popular science content, and compliance statement documents. Fields and units include biologic product active ingredient potency (IU, mg), financial product yield, risk level, approval numbers (starting with Guoyao Zhunzi S), and other professional identifiers, as well as target audience descriptions related to marketing.
What constraints these characteristics impose on the "document parsing and chunking" link
Biologic product-themed marketing documents within the financial industry combine biologic product professional parameters and financial product attributes, with a high proportion of structured tables and cross-domain fields. When parsing, it is necessary to accurately identify table row and column associations to avoid losing the binding relationship between biologic product parameters and financial product information after chunking. The update frequency of documents is irregular, and formats vary during batch uploads, so support for multi-format batch parsing is required to adapt to structural differences across different documents. Marketing documents contain compliance statement content; when chunking, complete sentence boundaries must be retained to avoid splitting compliance clauses and causing information distortion. Long-form popular science content contains coherent professional logic; chunk length must adapt to the semantic integrity of professional terms, avoiding damage to the contextual association of cross-domain information.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Biologic product-themed marketing documents contain a large number of cross-domain parameter tables, and row/column and field associations must be preserved |
PARSE_MAX_CHUNK_SIZE | 800–1200 characters | Documents contain professional terms and cross-domain information; overly long chunks will lose context, while overly short chunks will damage semantic integrity |
UPLOAD_FILE_MAX_SIZE | 500 MB | Batch-uploaded clinical trial documents and product manuals have large individual file sizes, requiring adaptation for large-file parsing |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Long document parsing requires longer processing time to avoid mid-process timeout interruptions |
RECALL_CHUNK_COUNT | Top 6–8 entries | Cross-domain content involving biologic products and finance requires sufficient context to support model calls; too few entries will lose key information associations |
PARSE_EXCEL_SHEET_INDEX | Automatically identify all worksheets | Biologic product marketing Excel files often contain multi-dimensional parameter tables and product return tables, requiring coverage of all worksheet content |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After uploading an Excel-format biologic product marketing document, table fields in the parsing result are empty or row/column order is disordered. Cause: The
PARSE_TABLE_ENABLEconfiguration is not enabled, or the Excel worksheet index is not specified correctly. - Phenomenon: During batch upload of a large number of biologic product documents, the parsing process is interrupted mid-way, and parsing progress cannot be restored after restarting the container. Cause:
PARSE_FILE_TIMEOUT_SECONDSis not configured with a sufficiently long duration, orUPLOAD_FILE_MAX_SIZEis set smaller than the individual document volume, triggering forced system termination of parsing. - Phenomenon: No parsing feedback is provided after uploading a document via the dialog box, no error logs appear in the background, or the model does not reference content related to biologic products or financial products in the document after parsing is complete. Cause: The automatic parsing trigger switch is not enabled, or the recall configuration values are unreasonable, resulting in key chunks not being used.
How to confirm configurations are set correctly
- Upload a single biologic product marketing Excel document, check the table fields and row/column structure in the parsing result, and confirm that the
PARSE_TABLE_ENABLEconfiguration is correctly enabled. - Upload batch documents, observe whether the parsing process continues to run, and confirm that the
PARSE_FILE_TIMEOUT_SECONDSandUPLOAD_FILE_MAX_SIZEconfigurations adapt to the current document volume and quantity. - Initiate a query for professional parameters or financial product information in the document, verify whether the model can return relevant content from the document, and adjust recall-related configurations to values that meet business requirements.
- View background parsing logs, confirm that there are no errors related to unsupported formats, timeouts, or field loss, and verify that all uploaded documents have been parsed normally.
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.