What Data for This Category Looks Like
The data for urban commercial bank financing daily reports comes from the same bank's capital operation system's same-day interbank financing transaction records, and daily transaction submission data from the national interbank lending market. Reports are generated exclusively for each trading day after market close. Most documents are structured CSV or Excel format, with fields including counterparty institution name, transaction date, fund-out and fund-in amount, transaction term, fund usage, business handling number, and more. The unit for amount is ten thousand yuan, and the unit for term is calendar days.
What Constraints Do These Characteristics Impose on the "Document Parsing and Chunking" Link
The structured nature of urban commercial bank financing daily reports requires parsing to strictly retain the correspondence between fields and business logic. Randomly splitting information that spans multiple fields will break subsequent retrieval business logic. The daily batch update feature requires chunk units to adapt to the volume of single daily report documents, avoiding over-splitting that leaves single chunks with incomplete information. Documents contain a mix of structured transaction fields and a small amount of unstructured annotations. Parsing rules must be configured to distinguish structured and unstructured content, preventing annotations from being incorrectly included in transaction field chunks. Some fields, such as counterparty institution names, use both abbreviations and full names. Chunking must retain contextual associations to support subsequent entity matching.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
parse_mode | structured_csv | Urban commercial bank financing daily reports mostly use structured CSV format. This mode automatically recognizes header and field correspondence, preserving the integrity of business fields |
chunk_size | 800–1200 characters | A single financing daily report contains 6-8 transaction fields. This range ensures each chunk includes 1-2 complete transaction records and associated annotations, avoiding information fragmentation |
chunk_overlap | 100–150 characters | Transaction records have contextual associations that span chunks. The overlapping portion retains key information such as counterparty and transaction date, improving retrieval accuracy |
PARSE_FILE_TIMEOUT_SECONDS | 60 seconds | Single financing daily reports have a small volume. This duration covers standard parsing and chunking processes, avoiding timeout interruptions during batch imports |
enable_ocr | false | Urban commercial bank financing daily reports are mostly native structured electronic documents. OCR recognition is not required, reducing unnecessary parsing overhead |
split_by_field | true | Structured documents use business fields as logical units. Splitting by field ensures consistent business logic for each chunk, avoiding mixing across fields |
The parameter values provided on this page are standard recommended starting points for defining configurations. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: After upgrading the platform version, uploading the same financing daily report CSV file triggers a
400 Bad Requesterror, prompting a field format mismatch. Cause: The default value ofparse_modein the new version was adjusted fromautotostructured_csv. When the old configuration does not explicitly specify this parameter, it cannot adapt to the original non-strict structured parsing logic. - Phenomenon: When attempting to create a file collection via the API, exclusive parsing parameters cannot be specified, resulting in structured CSV files being incorrectly identified as PDF format. Cause: The API request does not carry the
parse_modefield, leading to misjudgment when the system automatically matches file types. - Phenomenon: After uploading a file, directly calling the large model node returns results that do not include the original file content. Cause: The file direct transfer configuration is not enabled. The system executes the text parsing process by default, and does not pass the original file to the large model.
How to Confirm Proper Configuration
- Upload a single standard financing daily report file, enter the parsing details page, and confirm that each chunk contains complete transaction fields and associated information, with no missing fields or cross-chunk fragmentation.
- Check the platform's parsing logs to verify that the actual values of configuration items such as
parse_modeandchunk_sizematch the preset configurations. - Batch upload 3 financing daily report files of the same format, confirm that all files have a successful parsing status, with no timeout or format error prompts.
- After configuring the file direct transfer node, upload a file and trigger a large model call, confirm that the returned results include fragments of the original file content.
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.