What the data for this category looks like
Data for decoration and renovation financing daily reports comes from internal corporate financing ledgers, loan receipts from partner financial institutions, and supporting industry financing declaration forms. The update frequency is daily generation. Common document formats include Excel (including bulk project detail tables), PDF single-item financing approvals, and Word summary reports. Fields include project number, renovation section name, financing amount, loan cycle, partner institution name, and receipt date. Units are mostly RMB ten thousand and calendar days. Some documents include on-site project photos as supporting materials.
What constraints these characteristics impose on the "document parsing and chunking" link
The daily bulk update requirement means the parsing module needs to support high-concurrency batch processing to avoid single-file parsing timeouts. Mixed document formats require the parsing module to be compatible with Excel embedded images, PDF embedded annotated images, and complex table merged cell structures, while filtering irrelevant content such as headers and footers. Fields in decoration and renovation financing daily reports have strong binding relationships: for example, financing amount must be displayed in association with the corresponding loan project and receipt date. When chunking, complete information units for single projects must be retained to avoid splitting key associated fields. Some documents include on-site project photos that need to be extracted for subsequent multimodal input to the large model, so the parsing module needs to handle the association binding between text and embedded images simultaneously.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_MAX_SIZE | 500 MB | Single files for decoration and renovation financing daily reports are mostly bulk project lists, with a maximum size of 500 MB to avoid excessive service resource usage |
maxChunkSize | 800–1200 characters | The information length of single projects in decoration and renovation financing daily reports falls within this range, which preserves semantic integrity |
PARSE_EXTRACT_IMAGE | Enabled | Documents include on-site project photos, which need to be extracted for multimodal processing |
CHUNK_OVERLAP_RATE | 10% | Retain contextual association between adjacent chunks to avoid splitting key associated information of projects |
PARSE_TABLE_MERGE_CELL | Auto-merge | Excel documents often have merged cell section information, which requires correct restoration of table structure |
UPLOAD_BATCH_MAX_COUNT | 20 per batch | The number of daily report files processed in bulk is moderate, to avoid service overload |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, 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 mistakes
- Phenomenon: After parsing Excel-format financing daily reports, embedded on-site project photos are not extracted, or photos are not associated with corresponding project text. Cause: The
PARSE_EXTRACT_IMAGEconfiguration item is not enabled, or the binding rule between images and context text is not configured. - Phenomenon: After parsing PDF-format financing approval documents, a large amount of redundant header and footer content appears, and table merged cell structures cannot be correctly restored. Cause: The auto-merge mode of
PARSE_TABLE_MERGE_CELLis not enabled, and header and footer filtering rules are not configured. - Phenomenon: Chunked document fragments cannot carry associated information of embedded images, making it impossible to input images and corresponding project text together into the large model. Cause: The binding configuration between chunking and images is not enabled, resulting in separation of images and text chunks.
How to confirm the configuration is correct
- Upload a single Excel financing daily report that includes embedded images, check whether all embedded images are extracted in the parsing result, and that images and corresponding project text are in the same chunk.
- Upload a PDF-format financing approval document that includes merged cells, check whether the parsed table structure correctly restores merged cells and has no redundant header and footer content.
- View the chunking configuration logs, confirm that each chunk includes the corresponding image URI or associated tag, and there is no situation where chunks and images are separated.
- Batch upload 3 to 5 daily report files generated on the same day, check that all parsing tasks complete without timeout errors, matching the business processing rhythm.
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.