What data for military electronic intelligent due diligence reports looks like
Data sources for military electronic intelligent due diligence reports include public annual reports of military electronics equipment manufacturers, component supply and demand data released by industry associations, public closing summaries of military scientific research projects, and national standards and industry specification documents in the military electronics field. Update cycles vary: annual reports are updated annually or quarterly, industry supply and demand data is updated monthly, and standard documents have longer update cycles. Document structures are mostly mixed formats, including structured parameter tables, long-form technical descriptions, and PDF files with embedded charts. Fields include model specifications, operating frequency bands, power consumption parameters, delivery lead times, certification status, with professional units such as GHz, W, days, and level certification numbers.
Constraints imposed by these characteristics on model access and configuration
Multi-source heterogeneous data formats (structured tables, PDF files with charts) require configuring format-compatible parsing rules during model access to avoid missing professional parameters in charts. The mixed structure of long-form technical descriptions and structured parameters requires adjusting segment length and recall thresholds to cover complete information, preventing critical parameters from being truncated. Fixed-format professional fields require configuring precise field extraction and matching rules to ensure unified field formats across different data sources. Differences in update cycles across data sources require configuring incremental sync trigger interval parameters to avoid data lag or repeated loading.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_MAX_SIZE | 500 MB | Military electronics documents often contain high-definition charts, leading to large single-file sizes. This setting adapts to large-file parsing needs |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Parsing long-form technical documents takes significant time. Extending the timeout threshold prevents parsing interruptions |
maxContext | 8000–12000 characters | Military electronics documents contain multiple sections of professional parameters. This range supports long-context processing to cover complete information |
RECALL_TOP_N | Top 8 entries | Due diligence reports need to cover multi-dimensional component and equipment parameters. This number balances comprehensiveness and redundancy |
SIMILARITY_THRESHOLD | 0.75–0.85 | Semantic similarity of military electronics terminology is relatively high. A reasonable threshold filters out irrelevant content |
UPLOAD_FILE_ALLOW_EXT | pdf, docx, xlsx | Common document formats for military electronics include PDF technical manuals, Excel parameter tables, and Word description documents |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on relevant samples before finalizing settings.
Three common mistakes
- Symptom: After uploading an image or a PDF with embedded images, the parsed result does not include parameter information from the image, and the corresponding fields are empty. Cause: The in-document image parsing configuration is not enabled, and only the text parsing module is activated. Professional parameters in images cannot be extracted.
- Symptom: After configuring an overseas model, the call fails and returns a
401 Unauthorizedor403 Forbiddenerror. Cause: The model's API key and access permissions are not configured correctly, or platform regional restriction parameters are not adapted, leading to access restrictions. - Symptom: After embedding the chat box into a website, the due diligence report generation logic cannot be triggered, and the interface returns a
404 Not Founderror. Cause: The API interface address and authentication parameters in the embedded code are not configured correctly, causing requests to fail to match the correct service endpoint.
How to confirm the configuration is complete
- Upload a military electronics technical document that includes charts and structured tables, and check whether the parsed result extracts parameter information from the charts and table fields. This verifies that the multi-format parsing configuration is effective.
- Initiate a model call request, and check whether the returned content covers the core technical parameters of the document. This verifies that the context length configuration adapts to the document size.
- Trigger an incremental data sync task, and check whether the sync result only includes data sources from the specified update cycle. This verifies the configuration logic of the incremental sync parameters.
- Call the model interface and pass test military electronics professional terms, and check whether the semantic matching degree of the returned results meets expectations. This verifies that the similarity threshold configuration is reasonable.
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.