Workflow Orchestration for Military Electronic Industry Research Report Retrieval

Data for military electronic industry research reports comes from public reports of domestic military industry research institutions, tracking

What Data for This Category Looks Like

Data for military electronic industry research reports comes from public reports of domestic military industry research institutions, tracking documents from military electronics segment industry associations, and regular announcements released by military groups. Updates follow a quarterly deep research report release schedule and monthly industry tracking brief release schedule. Document structures include segmented product line revenue data, core customer cooperation details, technology iteration progress, and capacity planning content. Fields include single-quarter revenue, production capacity scale, delivery cycle. Corresponding units are ten thousand yuan, units sets, and days. Single research report lengths vary widely. It is recommended to confirm values based on in-house sample statistics or actual testing. Some deep reports include supporting technical parameter tables.

What Constraints These Characteristics Impose on Workflow Orchestration

Multi-source data for military electronic research reports requires configuring multiple parallel nodes to access documents in different formats. The nodes support parsing PDF, Word, and web page formats. Differentiated update rhythms (quarterly and monthly) require configuring scheduled trigger nodes. The nodes distinguish synchronization cycles for deep research reports and tracking briefs. The 10 to 30 page length span per document requires configuring adaptive segmentation parameters. This prevents overly long segments from exceeding context windows. Dedicated fields such as single-quarter revenue, production capacity scale, and delivery cycle require configuring field extraction rules. The rules accurately match business indicators for the segment.

Configuration Settings

Configuration ItemRecommended ValueRationale
PARSE_FILE_TIMEOUT_SECONDS600 secondsAdapts to parsing 10-30 page long documents, avoids timeout interruptions
chunk_size800–1200 charactersBalances research report content completeness and context window utilization
retrieve_top_ktop 6–10 entriesCore information in military electronic research reports is concentrated, reduces redundant retrieval
schedule_configPer-node triggering: synchronize quarterly deep reports every 90 days, synchronize monthly tracking briefs every 30 daysMatches the differentiated update rhythm of research reports
field_extract_configMatch fields single-quarter revenue, production capacity scale, delivery cycleAccurately extracts dedicated business indicators for military electronics
MCP_CONNECTOR_TYPEexternal_pluginSupports access to external military electronics industry data plugins, supplements proprietary data sources

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 case-by-case analysis. It is recommended to test on in-house samples before finalizing settings.

Three Common Mistakes

  • Phenomenon: After the workflow is invoked, the answer appends input and result text from knowledge base retrieval at the end. Cause: The hide_reference parameter is not configured, or the reference display switch is not turned off in the LLM node of the workflow.
  • Phenomenon: A 504 Gateway Timeout error occurs when parsing long deep research reports. Cause: The value of PARSE_FILE_TIMEOUT_SECONDS is too low, failing to adapt to the parsing requirements of 10-30 page long documents.
  • Phenomenon: Military electronics industry data cannot be pulled after connecting an external MCP plugin in the workflow. Cause: MCP_CONNECTOR_TYPE is not set to external_plugin, or API key binding configuration for the plugin is not completed.

How to Confirm Proper Configuration

  • Run a parsing test for a single deep research report. Verify that the length of segmented text blocks falls within the preset chunk_size range.
  • Trigger a scheduled synchronization task. Verify that the update cycles for quarterly deep reports and monthly tracking briefs match the rules configured in schedule_config.
  • Invoke the workflow to submit a query related to military electronic research reports. Confirm that the answer only displays conclusion content, with no additional knowledge base reference text.
  • After connecting an external MCP plugin, submit a query containing military electronics industry indicators. Verify that plugin data can be properly called and integrated into the answer.

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.