What the data for this category looks like
Data sources include official technical specification documents for ordnance and equipment, publicly released final qualification test data, military industry-themed marketing materials from financial institutions, compliant publicity materials, and equipment maintenance manuals. Update cycles adjust alongside equipment finalization batches and financial institutions' annual military industry-themed marketing plans. Updates are triggered when new equipment is finalized or marketing content is refreshed. Document structures mostly include structured parameter tables, long-form technical explanations, chaptered promotional brochures, and financial product association descriptions. Fields include equipment model, performance parameters, applicable scenarios, production batch, compliance mark, and associated financial product code. Units combine professional and financial units such as millimeters, kilometers, rounds per minute, kilograms, and percentage.
What constraints these characteristics impose on knowledge base retrieval and recall
The mixed structure of structured parameter tables and long-form technical explanations requires retrieval to support both field-level precise matching and semantic recall, while balancing military industry parameters and financial product information. The mix of professional units and financial percentages requires preserving original unit tokenization rules to avoid retrieval ambiguity. Non-fixed update cycles combined with military industry and financial marketing rhythms require supporting incremental synchronization to reduce resource consumption from full parsing. Mixed storage of marketing materials, internal documents, and financial product descriptions requires distinguishing content types via multi-dimensional tags to prevent irrelevant content from being recalled. Long document chunking needs to balance information integrity and contextual coherence, avoiding splitting that breaks logical connections between parameter groups and financial associations. Financial marketing has higher compliance requirements, so recalled content must meet dual compliance standards of financial regulation and military industry publicity.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
Chunk Length | 800–1200 characters | Ordnance and equipment technical documents mostly contain long paragraphs of parameter descriptions. This range preserves complete sets of performance parameters and financial association descriptions without splitting them apart |
Similarity Threshold | 0.72–0.85 | There are many mixed professional and financial terms. This range filters low-relevance general semantic results while retaining content that accurately matches equipment parameters and financial products |
Recall Count | Top 6 results | Single equipment and financial association documents have large content volume. Too many recalled results will exceed context window limits. This number covers the information required for core marketing and customer acquisition scenarios |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large equipment finalization documents takes a long time. This duration prevents parsing interruptions |
Incremental Sync Toggle | Enabled | Update cycles for ordnance and equipment and financial marketing are not fixed. Incremental synchronization reduces the cost of repeated parsing |
Tag Filtering | Enabled, bound to Compliance, Military Industry Marketing, Financial Product Association tags | Meets dual compliance requirements of financial marketing and military industry publicity, filtering non-marketing or non-compliant document content |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Retrieval results include non-marketing internal technical documents or financial product content unrelated to military industry, and the number of returned results exceeds expectations. Cause: The
Tag Filteringconfiguration is not enabled, and corresponding tags are not bound to documents, leading to irrelevant content being recalled. - Phenomenon: A
504 Gateway Timeouterror occurs when parsing large equipment and financial association manuals. Cause: ThePARSE_FILE_TIMEOUT_SECONDSvalue is set lower than the actual parsing time of the document, leading to parsing interruption. - Phenomenon: It is impossible to accurately recall corresponding content based on user-input equipment models or financial product codes, or to switch to a specified knowledge base for retrieval. Cause: The global variable assignment logic for
Knowledge Base Selectionis not configured correctly, leading to variables not being bound to corresponding knowledge base IDs, or multi-field-level retrieval matching is not enabled.
How to Confirm Configuration is Complete
- Upload an ordnance and equipment marketing document associated with financial products, check that the parsed chunks retain complete performance parameters and financial association descriptions without splitting apart.
- Enter a query that includes equipment models and financial product requirements, verify that the similarity of recalled results falls within the preset range, the number of results meets the set requirements, and the content matches both military industry parameters and financial product information.
- Trigger an incremental synchronization, check that only newly added documents are parsed, and historical documents are not processed repeatedly.
- Bind the specified compliance, military industry marketing, and financial product association tags to a test document, verify that only content with these tags is recalled during retrieval.
- Test the global variable assignment for
Knowledge Base Selection, confirm that after switching between different knowledge bases, recalled content only comes from the corresponding knowledge base.
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.