What Data for This Category Looks Like
Data sources for military electronics research reports include public securities firm industry research reports, monthly briefings from military industry associations, regular reports of listed military enterprises, and special white papers in the national defense and military industry field. These are industry analysis documents focused on by financial investment practitioners. Update frequency adjusts flexibly based on industry events and earnings report deadlines: securities firm reports are released alongside order announcements and technology exhibitions, industry briefings are updated monthly, and white papers are iterated annually. Most documents include structured data tables and paragraph-style analysis, with some involving technical parameter details. Fields cover detailed product models, revenue proportion, unit cost, and order delivery cycle. Units include 100 million yuan, sets/units, GHz, and kW.
What Constraints Do These Characteristics Impose on Document Parsing and Chunking
Military electronics research reports have a high proportion of structured tables. During parsing, it is necessary to accurately match cell data with corresponding analysis paragraphs to avoid disconnecting data from investment logic after chunking. Technical parameter fields include multiple types of units, requiring unit normalization processing to ensure unified parameter caliber during retrieval and support the accuracy of investment decisions. The length of single documents varies widely, from a few pages of briefings to dozens of pages of in-depth reports. Chunking must retain contextual connections of technical analysis to avoid breaking professional logic. Research reports from public channels have significant differences in layout formats, so batch parsing must support document structures with different headers, footers, and nested tables.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Military electronics research reports contain a large number of structured revenue and order tables. Enabling this option preserves the structured association of table data and prevents data loss after chunking |
maxChunkSize | 800–1200 characters | A single research report contains both technical parameter details and macro analysis. This range balances contextual completeness and retrieval accuracy |
chunkOverlap | 150–200 characters | Military electronics technical analysis has logical connections across paragraphs. The overlap interval retains contextual connections between parameters and analysis |
OCR_LANGUAGE | chi_sim+eng | Research reports contain Chinese technical terms and English model parameters, requiring support for both Chinese and English recognition |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | In-depth research reports have relatively long lengths, and sufficient parsing time must be reserved to avoid timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some batch research report combinations have large total sizes, and the upper limit is relaxed to support full document uploads |
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 specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: When uploading research reports in batches, the parsing results include non-target documents from previous uploads. Cause: Single-document parsing mode is not configured, and the default global knowledge base document pool is loaded for associated parsing.
- Phenomenon: After uploading a PDF containing technical charts, garbled Chinese characters appear in the OCR recognition results. Cause:
OCR_LANGUAGEis not set to mixed language mode, and only the default single-language recognition is used, leading to garbled professional terms. - Phenomenon: Irrelevant knowledge base content is returned when querying a single PDF. Cause: Single-document retrieval mode is not enabled, and the default recall of full knowledge base entries does not limit the scope of the currently uploaded document.
How to Confirm the Configuration Is Correct
- Upload a military electronics research report with fewer than 10 pages, and check if the tables in the parsing result fully retain cell associations, with no misalignment or data loss.
- Check the
PARSE_STATUSfield in the parsing log to confirm there are no timeout error codes, matching the configured duration ofPARSE_FILE_TIMEOUT_SECONDS. - Initiate a single-document query to verify that the returned results only contain content from the currently uploaded document, with no other knowledge base entries.
- Upload a document containing English model parameters, and check that the recognized terms are accurate, with no garbled characters or recognition deviations.
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.