What the data for this category looks like
Military electronics investment research data mainly comes from public announcements of the National Defense Science, Technology and Industry Administration, annual and quarterly reports of military-listed companies, industry professional research reports, public product manuals of military electronics component manufacturers, and military procurement announcement information. Update cycles are uneven: periodic announcements are released quarterly and annually, while temporary procurement announcements and manufacturer new product announcements have no fixed update cycle. Document formats include PDF product specifications, Word industry research reports, and Excel parameter comparison tables. Some documents contain cross-page technical parameter related content. Documents contain a large number of proprietary terms such as T/R modules, GaN RF chips, and phased array radars, along with clear quantitative parameters. Parameter units include professional units such as GHz, W, dB, and mm.
What constraints do these characteristics impose on document parsing and chunking
The dense proprietary terminology in military electronics documents requires parsing processes to retain term integrity, preventing word segmentation tools from accidentally splitting compound professional vocabulary. The mixed multi-format document structure requires parsing tools to adapt to content extraction logic for different formats. Specifically, Excel parameter tables need accurate extraction of field names and corresponding values to avoid format confusion. Quantitative parameters in documents include dedicated units, so parsed results must retain the binding relationship between parameters and units to prevent information loss. Long documents have cross-page technical logical connections, so chunking must retain contextual connections to avoid breaking complete technical parameter explanations. Uneven update frequencies across data sources require parsing processes to support batch processing, adapting to document parsing needs of different scales.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Military electronics documents contain long professional descriptions and bound parameters. Excessive length will cause contextual breaks, while insufficient length will lose technical logical connections |
chunk_overlap | 100–150 characters | Retain cross-segment proprietary terminology and parameter connections, avoiding chunking from breaking the integrity of technical explanations |
enable_keep_units | Enabled | Military electronics documents contain a large number of quantitative parameters with units. Units must be retained to ensure complete parameter information |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Parsing long documents such as complete machine development reports takes a long time. This avoids timeout interrupting the parsing process |
extract_table_fields | Enabled | Component parameter tables in military electronics documents need to extract field names and corresponding values to avoid disordered splitting of table content |
max_parsing_pages | Calibrated based on actual testing | Document page counts vary widely across different sources. Adjust the single-file parsing limit based on server load |
The parameter values given on this page are conventional recommendations for determining the starting point of configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing the settings.
Three common mistakes
- Parsing third-party PDF documents and failing to import them directly. The cause is that a custom parsing adapter is not configured, resulting in the third-party parsing result format being incompatible with platform requirements.
- Image links are lost when importing Word documents. The cause is that the parsing configuration does not enable retaining external resource paths, only plain text content is extracted and the image domain name is not processed synchronously.
- An
ERR_INCOMPerror is returned when parsing long documents. The cause is that thePARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. The long document parsing time exceeds the default threshold, resulting in content truncation.
How to confirm proper configuration
- Upload a military electronics component specification PDF, check whether the parsed Markdown content retains the binding relationship between proprietary terminology and parameter units.
- Upload a Word industry research report with embedded images, check whether the image links in the parsed Markdown contain complete domain name information.
- Upload a military complete machine development report with more than 20 pages, check that the parsing process does not trigger a timeout error, and the chunked text fragments do not lose contextual connections.
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.