Multi-turn Dialogue and Prompting for Ordnance and Equipment Financial Report Analysis

Ordnance and equipment financial report data primarily originates from public annual reports of military industrial groups, public industry

What Data for This Category Looks Like

Ordnance and equipment financial report data primarily originates from public annual reports of military industrial groups, public industry information released by the National Defense Science, Technology and Industry Administration, and regular announcements from listed companies. The update cycle centers on annual reports, with semi-annual and quarterly briefings as supplementary materials. Document structures include general financial statements and exclusive business modules such as core equipment delivery ledgers, military special fund revenue and expenditure records, and capacity construction progress updates. Fields cover both general financial fields and business-specific fields, with units including ten thousand yuan, units/sets, person-times, and others. Some business fields lack corresponding general industry standards.

What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompting

The multi-source, scattered nature of ordnance and equipment financial report data requires multi-turn dialogue to first guide users to clarify their data source scope, preventing confusion across different data sources. The lengthy document structure requires that conversation contexts retain sufficient business module context to avoid truncation of key business indicators. Exclusive business fields and non-standard units require prompts to explicitly specify field extraction rules and unit alignment logic, ensuring output matches the original financial report data. The characteristic of low update frequency but large single-data volume requires multi-turn dialogue to support module-by-module queries, avoiding response delays caused by loading full datasets in a single request.

Configuration Settings

Configuration ItemRecommended ValueRationale
maxContextFirst 8000–10000 charactersA single ordnance and equipment financial report document often exceeds 5000 characters; retaining sufficient context prevents core business indicators from being truncated
PARSE_FILE_TIMEOUT_SECONDS120 secondsFinancial report parsing requires extracting multiple tables and special business data, which takes longer than general financial documents
RECALL_TOP_KTop 6 entriesCore data of ordnance and equipment financial reports is scattered across multiple business modules; sufficient fragments must be retrieved to cover different analysis dimensions
PROMPT_TEMPLATEOutput in the format of ordnance and equipment financial report exclusive fieldsThis category includes non-standard business fields, so exclusive field and unit rules must be strictly aligned
LATEX_DISPLAY_MODEEnabledFinancial reports include financial calculation formulas and capacity measurement formulas, which require correct LaTeX formatting rendering
CHAT_MODULE_SPLITSplit dialogue by business moduleOrdnance and equipment financial reports include multiple independent business segments; module-based dialogue improves analysis accuracy

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing.

Three Common Mistakes

  • Phenomenon: LaTeX formatting displays correctly in debug preview, but only raw code is shown after publishing. Cause: The global LATEX_DISPLAY_MODE configuration is not enabled, or the setting is not synchronized to the publishing environment.
  • Phenomenon: Prompts do not take effect in multi-turn dialogue, and output does not meet ordnance and equipment financial report analysis requirements. Cause: The prompt is not bound to the corresponding knowledge base or conversation chain, or the extraction rules for exclusive business fields are not specified.
  • Phenomenon: Dialogue continues to stall and become unresponsive after Docker deployment. Cause: PARSE_FILE_TIMEOUT_SECONDS is not adjusted to adapt to large file parsing, or container memory quota is insufficient causing parsing timeouts.

How to Confirm Configuration Is Complete

  • Upload an ordnance and equipment financial report document, trigger parsing, and check if the parsed fields include core business indicators such as core equipment delivery volume and special fund appropriations.
  • Initiate multi-turn dialogue, ask questions about different business modules in sequence, and confirm that each reply focuses only on the current module content with no irrelevant information.
  • Enter a query containing LaTeX formulas, and check if the formula format is rendered correctly in the published conversation interface.
  • View the conversation log, confirm that the context length of each request does not exceed the threshold set by maxContext, and no key data is truncated or lost.

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.