What the Data for This Category Looks Like
Optical module data used for intelligent due diligence in the financial institution communications track is primarily sourced from manufacturer official parameter documents, public reports from communications equipment testing agencies, and carrier procurement bidding announcements. Update frequency aligns with new specification iterations. New models such as 800G and 1.6T have release cycles of approximately one quarter. Standard documents are mostly in PDF or Excel format, with a fixed structure as a parameter table. Fields include model, transmission rate, operating wavelength, rated power consumption, operating temperature range, interface type, and compliance certification. Units correspond to bps, nm, W, ℃, interface standards, and similar metrics.
Constraints for Model Access and Configuration
Diverse optical module data formats and complex table structures require model access configurations to support multi-format table extraction, and avoid missing core parameters. Frequently updated data sources require regular synchronization trigger rules in configurations, to prevent due diligence reports from using outdated parameters. Fields with strict unit requirements mean parameter validation logic must be configured during model access, to avoid report errors caused by unit confusion. Additionally, the fixed parameter table structure can optimize prompt design, but extraction field ranges must be clearly specified to prevent the model from outputting irrelevant content.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Most individual optical module manufacturer documents and testing reports fall within the 100–400 MB range, this setting fits most data sources |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Optical module documents are often PDFs with complex nested tables, which take longer to parse |
chunkSize | 800–1200 characters | Optical module parameter fields are compact, segmentation must cover complete parameter groups to avoid splitting individual parameter entries |
recallTopK | Top 6–8 entries | Due diligence reports need to cover core parameters (rate, wavelength, power consumption, certification), too many results will cause content redundancy |
similarityThreshold | 0.75–0.85 | Optical module parameter naming is standardized, a moderate threshold is sufficient for accurate matching of target documents |
VECTOR_BATCH_SIZE | 32–64 | The number of fields in optical module documents is stable, this range balances batch vector generation efficiency and resource usage |
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 targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- When calling the model interface for testing, a
404 status code (no body)is returned. The cause is that the API address for model access or key permissions are not configured correctly, resulting in the request failing to reach the target model service. - After batch uploading optical module documents, the vector database only updates a single file, and cannot batch refresh all uploaded documents. The cause is that the
BATCH_VECTOR_REFRESHconfiguration item is not enabled, or the correct batch trigger rules are not set. - Some optical module documents are not automatically parsed into structured tables, only plain text content is returned. The cause is that in the simplified mode of version 4.8.9, the table parsing switch is not explicitly enabled, or the prompt does not specify table parameter extraction.
How to Verify Successful Configuration
- Upload a single typical optical module manufacturer document, check if the parsed text contains a complete parameter table, and verify that the fields match the original document.
- Initiate a model call test, check if the returned results cover the core optical module parameters, and that the units match the original document.
- Batch upload documents of the same type, confirm that the vector database update progress is normal, with no timeout or parsing failure logs.
- Adjust the
similarityThresholdparameter, verify that the matching accuracy of the recall results meets the screening requirements of the due diligence report.
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.