Model Access and Configuration for Military Electronic

What data for this category looks like

Military electronic research reports primarily originate from securities firm military industry research departments, national defense science and technology intelligence institutions, and public disclosure documents of listed military electronics companies. They are important reference materials for financial industry institutions conducting industry analysis. Publication rhythm is flexible based on industry events and quarterly business milestones, with no fixed cycle. Document structure includes core business data sections, technical parameter descriptions, industry policy summaries, and corporate business analysis. Fields include report publishing institution, publication date, core target name, production capacity scale, unit energy consumption, technical indicator parameters, with some data accompanied by measurement units.

Constraints on model access and configuration imposed by these characteristics

Multi-source and heterogeneous report sources require configuring permission verification rules for multiple data sources to prevent unauthorized data access. Flexible publication rhythm requires configuring on-demand trigger synchronization mechanisms, eliminating reliance on fixed-cycle pulling. Documents contain structured fields such as technical parameters and business data, as well as unstructured analysis content, requiring configuring segmented parsing rules to distinguish between structured field extraction and unstructured text processing logic. Fields with attached measurement units require configuring field normalization rules to unify unit descriptions across different data sources, avoiding unit confusion during retrieval.

How to set configurations

Configuration Item	Recommended Value Range	Rationale
`maxContext`	`8000–12000 characters`	Military electronic research reports include multiple sections such as technical analysis and business data. Complete context must be retained to support accurate question answering
`chunkSize`	`1000–1500 characters`	Professional technical paragraphs in military electronic research reports have strong semantic coherence. Avoid overly short splits that cause semantic fragmentation
`rerankTopN`	`Top 3–5 results`	Research reports in military electronics subfields are vertically concentrated. Too many retrieved results will introduce irrelevant content and reduce retrieval accuracy
`similarityThreshold`	`0.70–0.78`	Military electronic research reports contain many professional terms. Balance retrieval recall rate and result relevance
`UPLOAD_FILE_MAX_SIZE`	`500 MB`	Single research reports often contain multiple charts and detailed data tables, requiring support for large file uploads
`PARSE_FILE_TIMEOUT_SECONDS`	`120 seconds`	Complex chart parsing and structured field extraction require longer processing cycles to prevent parsing failures due to timeout

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

Three common configuration mistakes

A 401 Unauthorized status code is returned when calling the rerank model, and the deployed local rerank model is not displayed in the interface. Cause: Security credentials for the local rerank model are not configured correctly, and authentication information with the Bearer prefix is not fully completed.
The number of retrieved results displayed in the retrieval interface does not match the configured rerankTopN value, and a large number of non-military electronics industry research reports appear. Cause: The similarityThreshold value is set too low, resulting in retrieval of irrelevant cross-industry research report content.
The large language model returns a context length exceeded error, and research report question answering cannot be completed. Cause: The maxContext configuration is not adjusted based on the length of a single military electronic research report, exceeding the context window limit of the selected large language model.

How to confirm successful configuration

Upload a test military electronic research report, view the segmented content after parsing, and confirm that the segment length falls within the configured chunkSize range.
After configuring the local rerank model, initiate a retrieval request, check the authentication status of the returned results, and confirm that no 401 Unauthorized error is returned.
Enter a question about technical parameters in the research report, check whether the content returned by the large language model includes relevant information from the uploaded research report, and confirm that the context window limit is not exceeded.
View the data source synchronization logs, and confirm that the trigger logic for incremental synchronization or full synchronization complies with the configured update rules.

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.