What the data for this category looks like
General equipment industry financial report data comes primarily from listed companies’ periodic announcements, industry association industrial operation reports, and internal annual or quarterly business documents. Update cycles follow fixed quarterly and annual schedules. Single documents include structured content such as equipment production capacity, fixed asset depreciation, category-specific revenue, and supplier cooperation status. They also contain paragraph text for industry benchmarking analysis. Most documents use a three-level subchapter structure. Fields include equipment count, revenue amount, operating hours, and more. Units include units, ten thousand yuan, hours, and other types. Some documents include multi-page equipment purchase detail tables.
What constraints do these characteristics impose on document parsing and chunking?
General equipment financial reports have numerous structured fields and mixed units. Parsing must accurately match equipment-related paragraphs and table content to avoid mixing cross-category data. Documents are lengthy; a single annual financial report can span dozens of pages. Chunking must retain associated context for the same equipment category, to prevent splitting that breaks the link between production capacity and revenue data. Documents with fixed update cycles have minor structural differences, so adaptation to quarterly chapter arrangements is required. Parsing must also handle multi-column unit data in tables, to prevent field misalignment. Continuous rows split from multi-page tables will make complete equipment purchase details unavailable during subsequent retrieval.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Adapts to long paragraphs of equipment production capacity descriptions and table content in general equipment financial reports, retaining complete business context for single-category equipment |
chunk_overlap | 120 characters | Prevents splitting cross-equipment associated analysis paragraphs, retaining context association between adjacent chapters |
max_paragraph_depth | 3 | Matches the three-level subchapter classification structure of financial reports, preventing excessive splitting of summary data for the same equipment category |
table_extract_threshold | 0.85 | Filters low-confidence table parsing results, adapting to table extraction requirements for multi-unit fields |
parse_timeout | 900 seconds | Adapts to parsing duration for large annual financial reports, preventing timeouts triggered by high document page counts |
index_batch_size | 128 | Matches batch indexing requirements for structured fields, aligning with general configurations |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Retrieval results only return partial table entries: Parsing splits continuous rows of equipment purchase detail tables, resulting in incomplete single-block data that cannot cover all detail content.
- The pdf-marker API returns a 404 error: The pdf-marker v2 parsing service is not deployed, or the access path for the
/v2/parse/fileAPI is not correctly configured. - Parsing fails after multiple file uploads: File information is not passed in nested array format, causing the API to fail to recognize batch-uploaded financial report documents.
How to Confirm Proper Configuration
- Upload a single general equipment quarterly financial report, view the parsed chunk list, and confirm that equipment-related paragraphs are not split into overly short fragments.
- Run a table parsing test, verify the completeness of extracted fields such as equipment depreciation and production capacity, and confirm there is no field misalignment or omission.
- Call the batch parsing API, upload multiple identical types of financial report documents, and confirm the API can normally receive and process batch files.
- Adjust the
max_paragraph_depthparameter, view the chunking effect of subchapters, and confirm that content from three-level equipment classifications is not forcibly split.
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.