Knowledge Base Retrieval and Recall for Aerospace Equipment Intelligent Due Diligence Reports

Data for aerospace equipment intelligent due diligence reports comes primarily from publicly released model development documents, industry standard

What Data in This Category Consists Of

Data for aerospace equipment intelligent due diligence reports comes primarily from publicly released model development documents, industry standard materials, supporting supplier qualification records, ground test data reports, and final acceptance documents from military research institutes. Update frequency aligns with model project launch and finalization milestones. Full data updates are issued when new models are released. Routine updates for supporting vendor dynamics occur quarterly. Document structures include core model parameter tables, development cycle timelines, supporting parts lists, original test data, and qualification certification files. Most fields use professional measurement units: thrust in kilonewtons, launch mass in tons, service life in years. Some classified documents require desensitization processing.

Constraints Imposed on Retrieval and Recall

The scattered sources of aerospace equipment data require initial filtering by document classification tags during retrieval. This prevents mixing in general military industry content. Long documents and professional field combinations require retaining term context during segmentation. This avoids splitting that breaks the integrity of professional expressions. Non-fixed update rhythms require synchronizing document version checks during incremental uploads. This prevents old version data from being included. Mixed storage of classified and public documents requires fine-grained retrieval access control based on document attributes. This prevents sensitive information leaks.

How to Set Configurations

Configuration ItemRecommended SettingRationale
segment_length800–1200 charactersAdapts to the complex long-sentence structure of aerospace equipment documents, avoiding splitting that breaks term context associations
recall_countTop 10 resultsCovers all associated content required for due diligence, including multi-source supporting vendors and test data
similarity_threshold0.75–0.85Filters low-relevance general military industry documents, retaining highly matched aerospace equipment-specific content
PARSE_FILE_TIMEOUT_SECONDS900 secondsMeets the parsing time requirements for large single test reports
UPLOAD_FILE_MAX_SIZE1000 MBAdapts to the upload requirements for large-volume PDFs, compressed packages, and other aerospace equipment documents
rerank_return_countTop 5 resultsRetains the most core retrieval results for generating core content of due diligence reports

The parameter values provided on this page are conventional 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 your own samples before finalizing settings.

Three Common Misconfigurations

  • Symptom: Retrieval results mix general military industry content and aerospace equipment-specific content, with matching accuracy failing to meet due diligence requirements. Cause: No dedicated classification tags configured for aerospace equipment documents, and tag filtering rules are not enabled.
  • Symptom: Garbled characters appear in fields after uploading a CSV-format due diligence supporting parts list exported from WPS. Cause: The CSV file does not use UTF-8 encoding, and correct encoding parameters were not specified during upload.
  • Symptom: Timeout errors occur when batch parsing large-volume aerospace test reports. Cause: The PARSE_FILE_TIMEOUT_SECONDS parameter value is lower than the actual parsing time for a single long document.

How to Confirm Proper Configuration

  • Upload a typical aerospace equipment model parameter document, review the parsed text segments, confirm that professional term combinations are not truncated, and verify that the segment_length configuration works as intended.
  • Enter a precise search term, such as "a certain type of launch vehicle thrust", check the relevance of returned results, and adjust the similarity_threshold to a range that meets business needs.
  • Upload a CSV-format supporting parts list exported from WPS, check that parsed fields have no garbled characters, and confirm that encoding parameters are configured correctly.
  • Try batch uploading a single test report with a volume exceeding 500 MB, check that parsing does not time out, and verify that the PARSE_FILE_TIMEOUT_SECONDS configuration is appropriate.

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.