What Data for This Category Looks Like
Data sources for auto parts financing daily reports primarily include supply chain finance platforms, industry submission data from local financial regulators, and loan details from partner banks. Updates are issued daily to reflect financing changes and loan status from the previous day. Common document formats are multi-page PDFs (containing structured table pages and scanned attachments) or PPT-format summary briefings. Core fields include supplier entity name, component assembly model, financing credit amount (unit: ten thousand RMB), loan date, and repayment term. Some documents include batch quality inspection reports for corresponding parts as attached files.
What Constraints Do These Characteristics Impose on Document Parsing and Chunking?
This category’s data characteristics impose multiple constraints on the document parsing and chunking process. First, data sources include native text PDFs and scanned PPT files, so the parsing link must support both native text extraction and OCR recognition to avoid losing content from scanned attachments such as quality inspection reports. Second, the daily high-frequency update rhythm requires the parsing process to have low latency to adapt to batch synchronization needs. Third, fields include long component model codes and financing amounts with fixed units, so chunking must retain the binding relationship between fields and their corresponding entries to prevent data misalignment caused by cross-page splitting. Fourth, some documents include independent attached files, so chunking must establish associations between main entries and attachments to ensure complete context during retrieval.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_OCR_ENABLE | Set to true | Auto parts financing daily reports often include scanned credit contracts and batch quality inspection report pages, requiring OCR to extract text content |
PARSE_TABLE_STRUCTURE | Set to true | The core content of the daily report is a structured financing table, requiring complete extraction of the corresponding relationships between supplier, component model, financing amount and other fields |
CHUNK_SIZE | Set to 800–1200 characters | Fits the text length of a single daily report financing entry plus associated attachments, avoiding splitting content across entries |
CHUNK_OVERLAP | Set to 100–150 characters | Retains field associations between adjacent chunks, preventing long tables or cross-page entries from being split apart |
PARSE_TIMEOUT | Set to 300 seconds | Fits large daily report documents with multiple scanned pages, avoiding parsing timeouts |
UPLOAD_FILE_MAX_SIZE | Set to 500 MB | Covers the size limit for batch-uploaded daily report summary documents in a single batch |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by document format, data volume and business rules. Specific issues require individual analysis, and it is recommended to test on samples relevant to the specific deployment before finalizing settings.
Three Common Misconfigurations
- Scenario: Syncing PPT and PDF documents to a target knowledge base fails, with status code
413returned. Cause: TheUPLOAD_FILE_MAX_SIZEparameter was not adjusted to a value matching the document size, resulting in large daily report documents being blocked. - Scenario: After deploying version
v2of marker, logs showOCR recognition failederrors. Cause: ThePARSE_OCR_ENABLEparameter was not enabled, or the OCR engine language pack was not configured for Simplified Chinese, making it unable to recognize component model text in the daily reports. - Scenario: Model calls work normally during regular chat, but
model_context_exceedederrors are triggered after adding file parsing. Cause: No reasonableCHUNK_SIZEwas set during chunking, causing single chunk content to exceed the context length supported by the model.
How to Verify the Configuration is Correct
- A single-page scanned PDF daily report is uploaded, and the parsing result is checked to confirm full extraction of supplier, component model and financing amount fields from the table.
- Three daily report documents in different formats (PDF, PPT, scanned files) are batch uploaded, and synchronization and parsing task completion rates are checked against expected values.
- Chunked text fragments are reviewed to confirm adjacent chunks contain overlapping field content, with no cross-entry splitting occurring.
- A model call test is triggered, and it is confirmed that parsed document content can be read normally without context limit exceeded 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.