Citation Sources and Traceability for Semiconductor Intelligent Due Diligence Reports

Data sources for semiconductor intelligent due diligence include industry public statistical databases, supply chain enterprise disclosure documents

What Data for This Category Looks Like

Data sources for semiconductor intelligent due diligence include industry public statistical databases, supply chain enterprise disclosure documents, patent search databases, and wafer fab public compliance reports. Update rhythms vary significantly by data type:

  • Industry statistical data is updated quarterly
  • Supply chain quotes are updated weekly
  • Patent data is synchronized in real time
  • Compliance reports are updated according to enterprise disclosure timelines

Documents include structured data tables and unstructured analysis reports. Covered fields include:

  • process node (unit: nanometer)
  • wafer production capacity (unit: ten thousand wafers/month)
  • quotation (unit: USD per unit wafer)
  • patent authorization number
  • supply chain partner name, etc.

Dispersed multi-source data requires specific data source identifiers to be marked during traceability, to avoid confusion between information from different channels. Differentiated update rhythms require configured differentiated synchronization rules, to prevent expired data from being recalled and affecting due diligence conclusions. Professional fields and specific units require simultaneous display of field names and units during traceability, to ensure report rigor. Mixed structured and unstructured document formats require distinguishing unique identification rules for different data, to avoid traceability ID conflicts. It is also necessary to adapt page number or batch positioning methods for different format data.

How to Set the Configurations

Configuration ItemRecommended ValueRationale
recall countTop 8-12 entriesSemiconductor due diligence data has large information volume per entry. Excessive entries will exceed the context window and reduce generation efficiency
similarity threshold0.75-0.85There are many professional terms in the semiconductor field. A threshold is needed to filter low-match irrelevant data and ensure the relevance of recalled content
reference field whitelistprocess node, wafer production capacity, supply chain quotation, patent authorization numberOnly retain professional fields required for due diligence to avoid redundant information interfering with the main body of the report
data source update synchronization cycleIndustry statistics every 90 days, supply chain quotations every 7 days, patent data synchronized in real timeMatch the update rhythms of different data sources to avoid citing expired data
traceability ID generation ruleData source identifier + data batch number + unique serial numberDistinguish traceability identifiers for multi-source data and avoid ID conflicts between different data sources
temperature0.1-0.3Due diligence reports require rigor, which reduces the randomness of generated content. This parameter can be adjusted in variable reference mode

The parameter values provided on this page are conventional recommendations used as a starting point 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

  • Phenomenon: No temperature setting entry appears in the configuration panel when using variable reference mode, and error code 4002 is returned after submitting the request. Cause: Some versions of the front-end interface do not load the temperature configuration module when in variable reference mode. The temperature parameter must be configured via back-end configuration items.
  • Phenomenon: The {{id}} field in cited content is displayed as empty. Cause: The traceability ID generation rule is not configured correctly, or the unique identifier of the knowledge base file is not bound to the retrieved semiconductor data.
  • Phenomenon: Recalled results include expired process node data. Cause: The data source update synchronization cycle is not set according to data source type, and old batch statistical data is still used.

How to Confirm the Configuration Is Correct

  • Initiate a test query, check whether the citation source column of the returned result includes complete data source identifiers, data batch numbers and serial numbers, to verify that the traceability ID generation rule takes effect.
  • Adjust the similarity threshold and initiate a query, compare the number of recalled results before and after to confirm that the threshold configuration takes effect.
  • Enter the variable reference configuration page, check whether the preset value of temperature exists in the back-end parameter list, to verify that the configuration is synchronized.
  • View the parsed semiconductor documents in the knowledge base, confirm that only fields within the whitelist are included in the recall scope, to verify that the reference field whitelist configuration is correct.

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.