Document Parsing and Chunking for Aerospace Equipment Marketing Content

Data related to aerospace equipment marketing comes from manufacturer public technical white papers, marketing collateral, flight test verification

What data for this category looks like

Data related to aerospace equipment marketing comes from manufacturer public technical white papers, marketing collateral, flight test verification reports, and customer case documents. The update rhythm aligns with new aircraft program launches, flight test milestones, and marketing campaign launches. Most documents are in PDF format, containing structured parameter tables, image-text mixed aircraft introductions, and compliance statements. Fields include wingspan, maximum range, useful load, and others, with units mostly meters, kilometers, kilograms, flight hours. Some documents contain embedded charts and scanned pages, so text extraction via OCR is required to obtain complete content, avoiding only extracting blank placeholders.

The high proportion of structured parameter tables requires the parsing link to accurately recognize table structures, avoiding semantic splitting of parameters and their units. The presence of image-text mixed content and scanned pages requires the parsing link to support OCR extraction and retention of associated semantics between text and images, preventing loss of key information. The existence of long technical descriptions and cross-page parameter tables requires the chunking link to preserve context integrity, avoiding splitting related content into different chunks. The need to batch process multiple documents of different formats requires parsing configurations to be flexibly adjusted to adapt to files of varying sizes and structures. Additionally, compliance statements have inconsistent positions, so care must be taken to avoid mixing compliance content with marketing language in chunks, which would affect subsequent retrieval accuracy.

How to set the configurations

Configuration ItemRecommended SettingRationale
parse_table_modePreserve original table structure + extract cell textStructured parameter tables make up a high proportion of aerospace equipment documents, so the corresponding relationship between parameters and units must be fully retained to avoid semantic confusion during retrieval
chunk_max_length800–1200 charactersTechnical description paragraphs in aerospace equipment are long, so chunking must cover complete parameter groups and context to avoid breaking technical logic
chunk_overlap_ratio0.15–0.2Context of long technical paragraphs is closely linked, so the overlap ratio must cover key parameter information of adjacent chunks
PARSE_FILE_TIMEOUT_SECONDS120 secondsLarge aerospace equipment white paper files have large sizes and long parsing times, the default duration is insufficient for complete parsing
enable_ocr_for_pdfEnabledSome marketing collateral are scanned PDF files, so OCR is required to extract text content and avoid missing content
split_by_pageDisabledCross-page parameter tables need to be fully merged to avoid parameter splitting and semantic breaks caused by pagination

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 settings.

Three common mistakes

  • Phenomenon: Some technical parameter table content is missing from parsed documents. Cause: Table structure parsing mode is not enabled, or chunking parameters are set too short, causing tables to be split and truncated.
  • Phenomenon: Parameters and their units are separated in chunked content. Cause: Parsing rules that retain table structure are not configured, and only plain text is extracted, leading to semantic loss.
  • Phenomenon: 504 timeout errors occur for some large documents during batch parsing. Cause: The PARSE_FILE_TIMEOUT_SECONDS parameter is not adjusted to a value suitable for large files, and the default timeout duration is insufficient for complete parsing.

How to confirm the configuration is correct

  • Upload a single typical aerospace equipment marketing PDF, check the parsed text content to confirm that all structured parameter tables have complete text and unit correspondence.
  • Adjust the chunk_max_length parameter, then use the chunk preview interface to check whether the context of adjacent chunks connects naturally, with no key parameters split.
  • Enable the OCR function, upload a scanned marketing collateral, and confirm that scanned text can be extracted normally without garbled characters.
  • Batch upload multiple aerospace equipment documents of different formats, check that all parsing task status codes are 200, with no timeout errors.

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.