What the data for this use case looks like
Data for dairy industry financing daily reports comes primarily from National Equities Exchange and Quotations announcements, local financial regulatory authority financing filing public notices, and daily event summaries from industry information platforms. Updates run daily on workdays. Each daily report covers financing events from the current day and the prior three workdays. Most documents are structured tables or PDF/HTML formats with fixed headers, and include fields such as financing party name, detailed dairy product category, financing amount, financing round, investor, disclosure date, and associated milk source filing number. Financing amount units are ten thousand yuan or hundred million yuan, and dates use standard Gregorian format.
What constraints these characteristics impose on document parsing and chunking
The structured characteristics of dairy industry financing daily reports impose clear constraints on parsing and chunking. Accurately bind table headers to corresponding row data to avoid misalignment of fields such as financing party and amount. The detailed dairy product category is a core classification field. Use it as an anchor point to aggregate events of the same category during chunking to improve retrieval targeting. There are two units for financing amount: ten thousand yuan and hundred million yuan. Perform unified conversion after parsing to avoid unit confusion during subsequent use. For documents updated daily on workdays, split chunks by date dimension during batch upload to prevent mixing of cross-date financing events. Some daily reports use HTML format. Accurately extract table content without extracting irrelevant page elements to ensure parsing integrity.
How to set configurations
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | HTML/PDF documents for dairy industry financing daily reports often contain multi-page structured tables; 120 seconds covers full parsing duration |
Segment Length | 800–1000 characters | A single financing event is approximately 200–300 characters. This range can accommodate 3–5 related events while avoiding overly long chunks that cause retrieval redundancy |
PARSE_HTML_STRIP_UNRELATED_TAGS | Enabled | HTML-format financing daily reports often contain irrelevant tags such as navigation and advertisements; enabling this filters non-content elements |
UPLOAD_FILE_MAX_SIZE | 50 MB | Batch packaged files for single dairy industry financing daily reports typically do not exceed 50 MB; exceeding this triggers upload blocking |
chunk_overlap | 100 characters | Context information such as adjacent chunks' dates and detailed dairy product categories must be retained to ensure content coherence during retrieval |
ENABLE_OCR_FOR_PDF | Selected by document type | Scanned PDF financing daily reports require OCR for text recognition; editable versions do not need to enable this configuration |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After uploading a javadoc-formatted HTML financing daily report, the parsing result is empty or only extracts a small amount of page text. Cause: HTML table parsing configuration is not enabled. Default HTML parsing only extracts plain text and cannot recognize structured table content.
- Phenomenon: After parsing a PDF-format financing daily report, image-embedded financing amount fields have no content. Cause: OCR configuration is not enabled. Only editable text is parsed, and scanned or image-based table content cannot be extracted.
- Phenomenon: Cross-date financing events are mixed after chunking. Cause: Chunking anchors are not set according to date or detailed dairy product category. Documents are only split by fixed length, resulting in financing events from different workdays appearing in the same chunk.
How to confirm the configuration is correct
- Upload a single test document, and check if the parsed result fully covers preset fields including financing party, detailed dairy product category and amount.
- Batch upload three daily report documents from different dates, and check if each chunk is aggregated by date or category with no cross-category mixing.
- Adjust the segment length and overlap parameters, upload a test document, and compare the content completeness and context coherence of different chunks.
- Enable the OCR configuration, upload a scanned PDF document, and confirm that table text in images is correctly extracted and included in the parsing result.
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.