Knowledge Base Retrieval and Recall for Aerospace Equipment Research Reports

Data sources for aerospace equipment research reports include public reports from military industry research institutions, publicly disclosed

What the Data for This Category Looks Like

Data sources for aerospace equipment research reports include public reports from military industry research institutions, publicly disclosed documents from aerospace system units, white papers from industry exhibitions, and regular periodic reports of listed companies. Update timing adjusts with major model project initiation, launch mission milestones, and industry policy releases. There is no fixed cycle. Documents typically include model technical parameters, test verification data, supporting details of the industrial chain, and policy interpretation chapters. Fields include launch vehicle thrust, satellite payload mass, orbital altitude, launch time, developer name, and more. Technical parameters use dedicated units such as kN, kg, km.

Constraints Imposed on Knowledge Base Retrieval and Recall

Dispersed data sources and inconsistent formats require field standardization during knowledge base import. Without this, recall results will have mixed parameter units and inconsistent model names. Updates follow no fixed cycle. Incremental synchronization logic must be configured to avoid resource consumption from full scans. Documents contain long sections of technical parameters and test data. Conventional segmented recall may split parameters from their corresponding explanations. A segmentation strategy that preserves contextual association is required. Fields use dedicated units. Retrieval must match both the field and its unit combination. Invalid recall results will occur otherwise. For example, confusing kN (thrust unit) with other units.

Configuration Settings

Configuration ItemRecommended RangeRationale
RECALL_TOP_KTop 10-15 resultsAerospace equipment research reports are dense with parameters. Too many recall results introduce irrelevant information, while too few fail to cover all critical technical details
SIMILARITY_THRESHOLD0.75-0.85Technical parameter matching requires a high similarity threshold to avoid confusing thrust and orbital parameters of similar models
PARSE_CHUNK_OVERLAP150-200 charactersParameter sections in aerospace research reports are lengthy. Overlapping segmentation preserves the contextual association between parameters and their corresponding explanations
API_AUTO_ADD_BEARERDisabledSome self-developed industry API interfaces do not require automatic Bearer request header addition, to avoid triggering format errors
PARSE_FILE_MAX_SIZE500 MBSingle aerospace equipment research reports may contain large numbers of charts and data tables, requiring allowance for large file imports

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 individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

  • Issue: 401 unauthorized error when calling an external knowledge base API. Cause: The API_AUTO_ADD_BEARER configuration was not disabled. The request header automatically adds duplicate Bearer tokens, which does not meet the format requirements of the target API.
  • Issue: Retrieval results return more than 20 entries, with technical parameters from non-target models mixed into the response. Cause: No reasonable RECALL_TOP_K parameter was set. Too many irrelevant research report segments are recalled, interfering with critical information extraction.
  • Issue: Imported research report files fail to parse, with a "file parse timed out" prompt displayed in the interface. Cause: The PARSE_FILE_MAX_SIZE or parse timeout configuration was not adjusted. Large research report files cannot complete parsing within the default time limit.

How to Verify Correct Configuration

  • Upload a single aerospace equipment research report sample, check the parsed text segments, and confirm that the context between parameters and their corresponding explanations is not split.
  • Initiate a retrieval for the thrust parameters of a specific launch vehicle, and verify whether the number and matching accuracy of recall results meet the configured expectations.
  • Call the bound external knowledge base API, check the request header format, and confirm that no redundant Bearer tokens are automatically added.
  • Import a large research report containing multiple charts, and confirm that the parsing task completes normally without file size limit exceeded errors.

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.