What the data for this category looks like
Data sources include securities firm industry research reports, public white papers from national defense and military industry associations, annual and semi-annual financial reports of listed military enterprises, and public technical documents from aerospace equipment manufacturers. Update frequency fluctuates with industry event timelines, with higher rates during earnings seasons and international airshows. Documents typically use structured chapters paired with charts, and include model parameters, production capacity data, cost composition, and upstream and downstream industrial chain connection information. Common fields cover equipment model, production quantity, unit price, service duration, and more. Common units include units, hundreds of millions of yuan, flight hours, and similar metrics.
What constraints do these characteristics impose on the document parsing and chunking link?
The multi-chart and structured data traits of aerospace equipment research reports require the document parsing module to prioritize retaining data relevance. Embedded production capacity and unit price tables, alongside parameter charts, will cause conventional text chunking to split field connections. The module must retain table row and column structures, and extract chart annotation text. Format differences across diverse data sources require the parsing module to support multiple import formats, including public web pages, Feishu multi-dimensional documents, and Excel files. The chapter hierarchy of long documents requires that core information is not split across chapters during chunking, to avoid breaking the binding relationship between equipment models and production capacity data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Aerospace equipment research reports often contain continuous industry analysis and bound parameter data. This length preserves complete information for a single model or single chapter |
chunk_overlap | 100–150 characters | Prevents core parameters from being separated from context after chunking, and ensures information coherence between adjacent chunks |
parse_image_content | Enabled | Embedded production capacity bar charts and aircraft model parameter charts in research reports hold key text information. Chart annotations and value labels must be extracted for use by large models |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large Excel files or long documents require sufficient time to parse, to avoid parsing failure due to timeout |
allow_url_types | public_web, feishu_doc, excel | Matches common data source types for aerospace equipment research reports, and supports import of public web pages, Feishu multi-dimensional documents, and Excel files |
max_table_parse_rows | Calibrated based on actual testing | Table row counts vary widely across different research reports. Adjust based on actual imported documents to retain complete table structure |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material format, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Errors
- Phenomenon: Parsed chunks do not include annotation text from embedded charts in research reports, and large models cannot access chart information. Cause: The
parse_image_contentconfiguration is not enabled, and only plain text content is extracted. - Phenomenon: Importing a publicly shared Yuque link results in a parsing failure prompt, with the interface displaying "unsupported data source type". Cause: The
public_webtype is not added to theallow_url_typesconfiguration item, or the Yuque link is not set to publicly accessible status. - Phenomenon: After importing a Feishu multi-dimensional document or Excel file, table fields are missing or incomplete in the parsing result. Cause: The
max_table_parse_rowsparameter is not adjusted to a value suitable for the document, resulting in truncated table content.
How to Confirm Configuration is Correct
- Upload a single aerospace equipment research report document containing embedded charts, and verify that chart annotation text in the parsing result is fully extracted.
- Import a public Yuque link and a Feishu multi-dimensional document, confirm that the parsing task status shows "completed" with no error prompts.
- Review the chapter hierarchy of the chunking results, confirm that parameter and analysis content for the same equipment model are not split across chunks.
- Adjust the
chunk_sizeparameter, compare chunk lengths across different values, and confirm text integrity that meets business requirements.
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.