What the data for this category looks like
Diversified financial financing daily report data originates primarily from publicly disclosed non-bank financial institution financing announcements, daily industry association statistical reports, and internal operation ledgers of licensed diversified financial institutions. Updates occur on a fixed daily schedule. Each document covers all financing projects from that day. Most documents use structured table formats, with fields including financing entity name, financing amount, financing method, disclosure date, industry classification, remarks, and more. Financing amount fields usually include attached units such as ten thousand yuan or hundred million yuan. Date fields uniformly use the YYYY-MM-DD format. Some documents merge header rows or add cross-page summary bars.
What constraints these characteristics impose on the document parsing and chunking link
The fixed daily update and batch document characteristics require the parsing process to support scheduled triggering and batch processing, to avoid inefficient manual single-document upload operations. Structured tables combined with multiple fields require the parser to accurately identify table structures, to prevent field misalignment or omission. The design of financing amounts with attached units requires post-parsing unit unified conversion, to avoid data confusion caused by mixed units across different documents. The presence of cross-page summary bars and merged cells requires the parser to have table structure repair capabilities, to avoid incorrect row or column splitting. Some documents include HTTP interface response attachments, requiring additional processing of response header field extraction, which increases parsing complexity.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Financing daily reports use structured tables as their core carrier. Enabling this option allows accurate extraction of all fields within the table. |
MAX_SEGMENT_LENGTH | 800–1200 characters | Financing daily reports have dense fields and associated units. This range ensures complete context after chunking, avoiding field splitting breaks. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single daily report may contain multi-page tables and batch projects. This duration covers the full parsing process, avoiding mid-process timeouts. |
BATCH_PARSE_SIZE | 5–10 documents | Adapts to the daily batch upload update schedule, avoiding excessive single-batch tasks that cause high server load. |
RESPONSE_HEADER_PARSE_ENABLE | Enabled | Some financing daily reports come with HTTP interface response attachments. Enabling this option allows extraction of response header fields such as Set-Cookie. |
IMAGE_OCR_ENABLE | Enabled | If the daily report includes screenshots of financing announcements in image format, enabling this option allows text extraction from image content. |
The parameter values provided on this page are common starting points for configuration. 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 calling the API to create a knowledge base, real-time statuses such as parsing, ready, and failed cannot be obtained. Cause: The
PARSE_STATUS_CALLBACKconfiguration is not enabled, and the status callback interface for receiving pushed data is not configured. - Phenomenon: When parsing HTTP response documents attached to financing daily reports, Set-Cookie fields cannot be extracted. Cause: The
RESPONSE_HEADER_PARSE_ENABLEparameter is disabled by default. The parser only extracts body content and does not process response header fields. - Phenomenon: After uploading a financing daily report PDF with images, the AI output does not include the text content corresponding to the images, or the storage path of the parsed images cannot be found. Cause: The
IMAGE_OCR_ENABLEparameter is not enabled, orIMAGE_STORAGE_PATHis not configured, causing images to fail to be stored and associated properly.
How to confirm the configuration is correct
- Upload a standard-format diversified financial financing daily report document, check if all table fields are fully extracted in the parsed text, and verify that the chunk length meets business requirements.
- Call the knowledge base creation API, check if the returned
parse_statusfield includes preset status values, and confirm that the status callback interface can normally receive pushed data. - Upload a financing daily report document containing images, verify that the AI output includes the text content corresponding to the images, and confirm that the image OCR function is active.
- Batch upload 5 or more daily report documents, check if parsing tasks are processed in parallel according to the configured batch quantity, and there are no timeout or parsing failure error prompts.
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.