What this category of data looks like
Data sources for defense electronics intelligent due diligence mainly include industry information publicly disclosed by the National Defense Science, Technology and Industry Administration, public documents for defense electronics model development, and supporting manufacturer qualification lists released by industry associations. Data is updated in stages as projects progress. Annual revisions are released for industry standard documents, and supporting manufacturers’ supply parameters are adjusted per batch. Each due diligence document includes fields such as project approval number, core technical indicators, supporting supply chain list, and compliance verification records. Technical indicators use general engineering units such as watts, hertz, and degrees Celsius, and compliance records are marked with public level classifications.
What constraints do these characteristics impose on the "citation sources and traceability" link
Defense electronics due diligence data sources are scattered and mostly carry public level identifiers. The traceability process must clearly mark the information acquisition channel and public level to avoid confusion between classified and public content. Documents include multi-dimensional technical and compliance fields. Source fragments must be accurately matched to their corresponding fields, otherwise irrelevant non-core information will be introduced. Data update rhythms adjust as projects progress. The effective time range of corresponding information must be updated during traceability to ensure cited content matches the current project status.
How to configure the settings
| Configuration Item | Recommended Value | Rationale | ||
|---|---|---|---|---|
Recall count | top 8-12 entries | Defense electronics documents have many scattered fields. Too many recalled entries will introduce irrelevant fragments, while too few will fail to cover core technical indicators and compliance records | ||
Similarity threshold | 0.75-0.85 | Technical indicators for defense electronics are expressed precisely. This range filters low-match irrelevant documents while retaining compliance records with similar parameters | ||
Chunk size | 800-1200 characters | Core technical paragraphs in defense electronics due diligence documents are long. Too short segments will split indicator associations, while too long segments will reduce accurate matching | ||
Citation template | `{{source}} | {{field}} | {{update_time}}` | Must clearly mark the source channel, corresponding field, and effective time to meet the traceability compliance requirements of defense electronics due diligence |
Knowledge Base Refresh Trigger Mode | Triggered by project milestones | Defense electronics data updates as projects progress. Fixed-cycle refreshes cannot match staged adjustment rhythms | ||
Rerank result count | top 4-6 entries | Core compliance and technical sources must be retained on the basis of accurate recall, to avoid excessive redundant information interfering with traceability |
Three common errors
- Phenomenon: The generated response does not directly reuse knowledge base original text, and additional generated content appears. Cause: The
强制引用知识库parameter is not enabled, or the recalled context is not restricted to only matching preset due diligence question-answer pairs. - Phenomenon: After the workflow is executed, the AI response does not include result fragments returned by the database query. Cause: The output of the knowledge base recall node is not bound to the context input of the response generation node, or the context reference switch is not enabled.
- Phenomenon: There is no option for knowledge base recall results in the variable selection panel of the code running node, and the first search result cannot be output directly. Cause: The output variable mapping of the knowledge base recall node is not configured in the workflow, or the variable exposure switch of the node is not enabled.
How to confirm the configuration is correct
- Upload a standard defense electronics due diligence document, run a question-and-answer test for core technical indicators, and check whether the response content directly reuses knowledge base original text fragments.
- View the traceability information at the bottom of the response, confirm that the complete mark including source channel, corresponding field, and update time is included, with no missing items.
- Adjust the recall count and similarity threshold, test the number of recall results under different inputs, and confirm that the value range matches the current scenario.
- Trigger a knowledge base update, check whether the updated document appears in subsequent recall results.
The parameter values given on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
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.