What data looks like for this category
Baijiu due diligence data sources include official quality inspection reports from production enterprises, monitoring data from regional production area management committees, sales ledgers from alcohol circulation associations, and physical and chemical index reports from third-party testing institutions. Single-batch product data updates upon production completion. Public industry data updates monthly. Document formats include scanned quality inspection reports, structured Excel/CSV circulation ledgers, and JSON-formatted real-time inventory data. Fields include batch number, raw material proportion, alcohol content (unit: %vol), total acid and total ester content (unit: g/L), circulation inventory volume, and number of covered distributors. Field naming varies slightly across different data sources.
What constraints these characteristics impose on model integration and configuration
The multi-format and field differences of baijiu data require model integration to support multi-format parsing and field mapping rule configuration. This prevents data extraction errors caused by OCR errors in scanned documents or inconsistent field naming from different sources. Data sources with different update frequencies require configured differentiated synchronization trigger strategies. This distinguishes between real-time updates for single-batch product data and monthly full-update tasks for public industry data. Physical and chemical fields with specific units require unit alignment rules to be configured during model integration. This ensures accurate numerical calculations for subsequent due diligence analysis. Multi-dimensional data associated with batches requires the model to support cross-source data association matching. The batch number must be preset as a unified association key during the integration phase.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Baijiu due diligence reports contain multi-field physical and chemical data and circulation ledgers. Long text requires sufficient context to retain field association relationships |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single-batch quality inspection report PDFs often contain multi-page scanned documents. OCR parsing takes a long time |
UPLOAD_FILE_MAX_SIZE | 500 MB | Circulation ledgers are often bulk Excel/CSV files. Single-batch data files can reach hundreds of megabytes |
Recall count | Top 8 entries | Baijiu due diligence requires association of regional production, production and circulation multi-dimensional data. Sufficient associated entries must be retrieved |
Similarity threshold | 0.75 | Distinguish physical and chemical data of different batches to avoid batch confusion |
Rerank result count | Top 4 entries | Focus on core associated data to avoid redundant information interfering with due diligence analysis |
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 specific analysis. It is recommended to test on your own samples before finalizing.
Three common mistakes
- A 422 status code is returned when calling the interface, with a prompt that the token length exceeds the limit: Structured multi-field data for baijiu batches was not truncated for context, and the token count for single-batch data exceeds the model's supported upper limit.
- The AI conversation node output contains debug logs: The node's debug log switch was not turned off, causing debug information from the execution process to be mixed into the final returned result.
- A timeout error occurs when parsing baijiu circulation ledgers: The file parsing timeout parameter was not adjusted, and the parsing time for bulk Excel files exceeds the default threshold.
How to confirm the configuration is complete
- Upload a single batch of baijiu quality inspection report PDF, check that the parsed fields include preset content such as alcohol content and total acid and total ester, with correct units displayed.
- Initiate a due diligence query, check that no 422 error is returned and the token count is within the model's supported range.
- Turn off the node debug switch, execute a test task, confirm that the returned result only contains due diligence analysis content with no additional debug information.
- Upload bulk circulation ledger files, check that the parsing time is lower than the set timeout parameter with no timeout errors.
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.