What the Data for This Category Looks Like
Marketing content data for joint-stock banks comes primarily from official materials created by internal marketing teams. These include structured Excel customer lists and budget allocation sheets, as well as unstructured PDF campaign plans, poster copy, and phone script templates. Update frequency aligns with marketing cycles. Frequency is higher during new product launches or quarterly campaign launches, and lower during daily operations. Document structures mix long text paragraphs, multi-page PDFs, nested tables, and short script snippets. Fields include clear business identifiers and units: campaign ID, delivery channel, customer group tags, budget amount (unit: ten thousand yuan), effective date, and more.
What Constraints These Characteristics Impose on Document Parsing and Chunking
Mixed structured and unstructured document types require parsing workflows to support both plain text extraction and table structure restoration. This avoids losing relational business data. Frequently updated marketing materials require lightweight parsing processes. Long wait times would disrupt operational efficiency, so lightweight processing is necessary. Content with clear units and business fields requires retaining the binding between fields and corresponding content during chunking. This prevents semantic breaks after splitting. Parsing multi-page long documents needs to adapt to complex layouts. This ensures context coherence of chunked content meets business query requirements.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Joint-stock bank marketing materials often include multi-page PDFs or complex nested Excel files. This value covers the parsing duration needs of most documents, avoiding mid-process timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapts to the upload needs of bulk documents such as quarterly campaign plan collections and multi-channel delivery lists, avoiding interception due to oversized files |
Chunk Length | 800–1200 characters | Marketing content includes script snippets and business data. This range balances semantic completeness and retrieval accuracy, avoiding lost context from overly long content or broken business associations from overly short content |
enable_table_parse | Enabled | Marketing materials often include Excel-formatted customer tier lists and budget sheets. Enabling this preserves table structure and cell correspondence |
metadata_extract_mode | Force field binding | Marketing documents include specific business fields such as campaign ID and budget unit. This mode preserves the binding relationship between metadata and corresponding text |
retry_parse_times | 3 times | Parsing of some complex documents may have occasional exceptions. Retrying improves parsing success rates and avoids disrupting operational processes from a single failed parse |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on available samples before finalizing settings.
Three Common Mistakes
- Phenomenon: After uploading an Excel-format customer list, the parsing result only extracts plain text, and table column names and cell contents are misplaced or lost. Cause: The
enable_table_parseconfiguration is not enabled, and the default parsing logic does not adapt to structured tables. - Phenomenon: After uploading a marketing document, parsing takes more than 5 minutes and returns a
504 Gateway Timeouterror, and the problem is not resolved after restarting the server. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration value is lower than the actual parsing duration required by the document, and the server gateway timeout threshold is not adjusted synchronously. - Phenomenon: In the chunked content, marketing script snippets are separated from the corresponding campaign ID field, making it impossible to retrieve associated business information. Cause: The
metadata_extract_modeis not set to binding mode, and the association between metadata and text is not retained during chunking.
How to Confirm the Configuration Is Correct
- Upload test Excel marketing materials, check whether the table column names and cell contents in the parsing result are complete, to confirm that the table parsing configuration is effective.
- Upload a single-page PDF marketing plan document, check the parsing duration record, to confirm that the
PARSE_FILE_TIMEOUT_SECONDSvalue is greater than the actual parsing duration. - Check the chunked document fragments, check whether fields such as campaign ID and budget value are bound to the corresponding text content, to confirm that the metadata binding configuration is correct.
- Upload a bulk collection of marketing documents, confirm that the upload and parsing processes do not trigger file size restrictions.
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.