What data for this category looks like
Data sources for Traditional Chinese Medicine (TCM) intelligent due diligence reports include official standard documents, batch ledgers from origin traceability platforms, quality inspection sheets and processing records from manufacturing enterprises. Data update cycles are inconsistent: standard documents are revised and updated annually, batch traceability ledgers are updated synchronously with each batch of TCM harvesting and processing, and enterprise quality inspection sheets are generated immediately with each production batch. Document structures include structured tables, paper reports in scanned format, and standardized professional PDF texts. Fields include harvesting period, processing technology parameters, heavy metal residue content (unit: mg/kg), pesticide residue content (unit: mg/kg), origin, inspector ID number, and other fields. Some fields use exclusive professional terminology and fixed units.
What constraints these characteristics impose on the model access and configuration link
The multi-source, heterogeneous data format requires the access layer to support parsing and adaptation for multiple document types. Unified parsing rules must be configured for scanned documents, structured tables, and professional PDFs. Data with differing update cycles requires support for custom incremental synchronization trigger conditions, to distinguish between annually updated standard data and batch-level real-time data. Physicochemical detection fields with fixed units require model configuration to support semantic verification and extraction logic for field units, to avoid mismatches between units and numerical values. Dense professional processing terminology requires configuration of context association parameters, to ensure the model can accurately identify the process and field information corresponding to the terminology.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_MAX_SIZE | 500 MB | The size of a single TCM quality inspection report or traceability ledger typically ranges from 50 to 200 MB. Setting this value covers redundant requirements for batch uploads |
embedding_batch_size | 16–32 | TCM fields include professional terminology and fixed units. Small-batch embedding improves the stability of semantic recognition |
max_context_window | 8000–12000 characters | A single due diligence report contains multiple quality inspection sheets and traceability data. A sufficient context window is required to retain complete semantics |
field_extraction_threshold | 0.75–0.85 | This interval balances extraction precision and recall when distinguishing semantic weights between professional terminology and common vocabulary |
UPLOAD_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large scanned documents takes a long time. This duration covers parsing requirements for most scenarios |
rerank_top_k | Top 5 entries | Due diligence reports require precisely matched traceability data entries. This number retains core associated information |
The parameter values provided on this page are all common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: When testing a multimodal embedding model, a truncated error message
{"error":{"code":"Invalidis returned. Cause: The maximum character count for multimodal input is not configured. Dense professional terminology and unit text in TCM traceability images exceed the input length supported by the model. - Symptom: After configuring model isolation functionality, different teams can still cross-access model keys. Cause: Independent model keys are not bound to each team, and global key configuration is reused.
- Symptom: After uploading a PDF document of TCM processing technology, the parsed processing parameter fields are empty. Cause: The context extraction switch for professional terminology is not enabled. The model cannot identify field information corresponding to exclusive terms such as bran-frying and honey-roasting.
How to confirm configuration is complete
- Upload a single TCM quality inspection report document, and verify whether preset professional fields are included in the parsing results. Adjust the value of
field_extraction_thresholdbased on field matching accuracy. - Pass a text fragment containing heavy metal residue content units (mg/kg) to test the return results of the multimodal embedding model. Adjust context association parameters based on semantic matching effects.
- After configuring team permission binding, initiate calls using different test accounts. Verify the correspondence between accounts and model keys. Adjust isolation configurations based on permission verification results.
- Upload multiple batch documents, and check the completion status of parsing tasks. Adjust the value of
UPLOAD_FILE_TIMEOUT_SECONDSbased on timeout situations.
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.