Multi-turn Dialogue and Prompt Engineering for Aerospace Equipment Investment Research Knowledge Base Construction

Aerospace equipment investment research data sources include public defense and aerospace industry reports, publicly available technical papers from

What the data for this category looks like

Aerospace equipment investment research data sources include public defense and aerospace industry reports, publicly available technical papers from aerospace institutes, official launch mission announcements, and model development milestone notices. Update rhythm varies significantly by content type: launch mission data updates in real time as missions are carried out, industry white papers are released annually, and technical documents are updated alongside model development stages. Document structures include task parameter tables, detailed subsystem technical indicators, development progress ledgers, and cost accounting details. Core fields use standardized units such as thrust (kilonewtons), orbital altitude (kilometers), launch window (UTC time), spacecraft mass (tons), and others.

Dispersed data sources and inconsistent update cycles require multi-turn dialogue context recall to filter time-sensitive content by data source category, to avoid mixing outdated development data. Complex document structures with dense technical parameters per section require that context splitting for multi-turn dialogue preserves the association of subsystem fields, and should not split randomly by page number. Diverse field units and high precision requirements require prompts to mandate that the model uniformly converts parameters to legal measurement units, and to verify parameter unit consistency during the recall phase. Large differences in update frequencies require that knowledge base synchronization for multi-turn dialogue supports incremental updates, to avoid slowing response speeds from full retrieval.

How to Set Configurations

Configuration ItemRecommended ValueRationale
maxContext8000–12000 charactersAerospace equipment documents have dense technical parameters per section; overly long context will cause the model to lose association between key fields
UPLOAD_FILE_MAX_SIZE500 MBIndividual model development documents can reach hundreds of MB, so support for large file uploads is required
PARSE_FILE_TIMEOUT_SECONDS1200 secondsParsing technical drawings in complex PDF formats takes a long time, so the timeout threshold must be extended
recall countTop 8 entriesAerospace equipment investment research requires balancing multi-dimensional parameters; too many recall results will dilute core information
similarity threshold0.75–0.85Technical parameter descriptions are highly standardized, so recall of unrelated documents in the same field must be avoided
enable_incremental_syncEnabledAerospace equipment data is updated according to mission milestones, so regular incremental synchronization of latest mission data is required

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, and it is recommended to test against your own samples before finalizing settings.

Three Common Mistakes

  • Phenomenon: No parsing results after uploading a model development PDF, with no error logs in the backend. Cause: UPLOAD_FILE_MAX_SIZE was not adjusted to a value suitable for large files; parsing is silently skipped once the limit is exceeded.
  • Phenomenon: Technical parameter units in model outputs are inconsistent during multi-turn dialogue. Cause: The prompt did not explicitly require uniform conversion to legal measurement units, and no unit verification rule was attached during context recall.
  • Phenomenon: Running generation tasks cannot be terminated after calling the chat interface. Cause: The stop_sequence parameter was not configured, or the cancel_chat interface was not called to terminate the task.

How to Confirm Configuration is Correct

  • Upload a typical aerospace launch mission announcement document, and check if the parsed text retains complete information for core fields such as thrust and orbital altitude.
  • Initiate a query covering multi-dimensional technical parameters, and verify that the number of returned recall results matches the preset configuration, with no redundant unrelated content.
  • Test the incremental synchronization function: upload an updated mission milestone notice, and confirm that the knowledge base only synchronizes new content without full overwriting.
  • Call the cancel_chat interface, and verify that running generation tasks can be terminated normally.

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.