What the Data for This Category Looks Like
Marketing documents from financial institutions for shipping port clients primarily come from internal operation reports, route promotion brochures, berth scheduling logs, correspondence with partners, and annual operation reports. Update frequency varies by document type: route quotation documents are updated weekly, operation reports are updated monthly or quarterly, and marketing materials are released on demand. Document structures include two categories: long-form text discussions and structured tables. Common structured fields include berth number, container throughput, route distance, and charging standards. Corresponding units are berth number, TEU, nautical miles, and USD/TEU respectively.
Constraints on Document Parsing and Chunking
Mixed document structures require the parsing workflow to support both long-form marketing text and structured quotation tables. This prevents uniform chunking from breaking field associations within tables. Structured fields have dedicated units. Parsing must retain the binding between fields and their units. Otherwise, unit confusion will occur during post-chunking retrieval matching. Long documents have fixed chapter divisions. Chunking must follow chapter boundaries instead of using a fixed character length. This avoids splitting coherent business descriptions across chapters. Scattered correspondence must use individual letters as the chunking unit. This supports precise matching requirements for subsequent marketing content.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Matches the file size of single large operation reports and marketing brochures for shipping port clients, to prevent parsing interruptions |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers parsing time for long documents and documents with multiple tables, to avoid task termination due to mid-process timeout |
Chunk Length | 800–1200 characters | Balances contextual coherence of business descriptions and retrieval granularity, to meet chunking needs for mixed-structure documents |
enable_pdf_ocr | Enabled | Recognizes text content in non-editable PDF documents such as scanned route quotation sheets and marketing materials |
parse_table_structure | Enabled | Retains the binding relationship between structured table fields and their units, to prevent loss of business information caused by parsing into plain text |
parse_office_structure | Enabled | Supports structured marketing documents in Word and Excel formats, to fully extract table and text content |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue:
OCR Errorappears when parsing scanned route quotation sheets. Cause: Theenable_pdf_ocrconfiguration is not enabled, or the uploaded scan has insufficient resolution, leading to OCR recognition failure. - Issue: Field missing appears in parsing results after uploading Word or Excel format marketing documents. Cause: The
parse_office_structureconfiguration is not enabled, so table content is not fully extracted. - Issue: No matching results appear in knowledge base searches after uploading a PDF document, with an error prompt displayed. Cause:
PARSE_FILE_TIMEOUT_SECONDSis set too short. The document is terminated before full parsing is completed, leading to incomplete index information.
How to Verify Correct Configuration
- Upload a scanned marketing material document. Check if the parsing result contains complete text content to confirm the
enable_pdf_ocrconfiguration is active. - Upload an operation report containing structured tables. Check if parsed chunks retain the binding relationship between fields and their units to confirm the
parse_table_structureconfiguration is active. - Upload a Word format marketing brochure. Check if the parsing result fully extracts table and text content to confirm the
parse_office_structureconfiguration is active. - Run a knowledge base search test. Enter keywords for exclusive fields in the document, check if matching chunked content is returned to confirm the parsing and chunking workflow is functioning correctly.
- Check the platform interface. Confirm that the parsing function is integrated into the knowledge base upload process, with no need to separately locate a dedicated parsing module.
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.