Document Parsing and Chunking for Rural Commercial Bank

What this category of data looks like

Documents for rural commercial bank marketing content originate from internal operation teams. They include activity plans, product promotion manuals, customer communication scripts, and archived offline event material files. Update frequency aligns with marketing cycles. New documents are created for quarterly regular promotions, monthly themed activities, and temporary sales promotions. Most documents follow a fixed structure: activity theme, applicable customer group, execution details, and supporting material descriptions. They frequently include tables, such as gift lists and execution timetables, and images, such as branch promotional posters and product schematic diagrams. Fields cover product number, execution period, material code, and similar items. Common units include natural days, yuan, and code strings.

Constraints on document parsing and chunking

The characteristics of rural commercial bank marketing documents create multiple constraints for parsing and chunking processes. First, documents contain large numbers of tables and images. Standard parsing logic often loses structured table information. It may also fail to accurately extract activity description text linked to images. This causes key business rules to be missed during chunking. Second, documents lack unified fixed templates. Structures adjust flexibly for each marketing activity. Chunking logic must adapt to non-standard content. It must avoid merging cross-module activity rules and material descriptions. Third, temporary sales promotion documents update frequently. Parsing tasks must support low-latency processing. They must also accurately match business fields within documents. This prevents loss of key identifiers during chunking. Additionally, practical guidelines for grassroots branch outlets must retain logical connections between paragraphs. This prevents chunking from breaking coherent execution steps.

Configuration settings

Configuration Item	Recommended Value	Rationale
`max_chunk_size`	800–1200 characters	Rural commercial bank marketing documents mostly contain coherent activity details. This range preserves business integrity of single chunk content, and avoids splitting execution steps
`chunk_overlap`	100–150 characters	Retains logical connection between adjacent chunks. Ensures cross-block activity rules can be recalled via context
`parse_image_enable`	Enabled	Posters and product schematic diagrams in rural commercial bank marketing documents link to key activity information. Enabling this extracts image OCR text and associates it with corresponding chunks
`table_parse_mode`	Structured export	Gift lists and execution timetables in rural commercial bank marketing documents require retained table structures. This avoids information confusion caused by plain text conversion
`PARSE_FILE_TIMEOUT_SECONDS`	60–90 seconds	Rural commercial bank marketing documents often contain multi-page materials and high-definition images. This duration covers the complete parsing process
`enable_reference_parse`	Enabled	Rural commercial bank marketing documents often include activity reference clauses and compliance descriptions. Enabling this extracts `references` field content and includes it in the chunking scope

The parameter values provided on this page are common recommended starting points for configuration setup. Actual values depend on material form, data volume, and business rules. Specific issues require individual analysis. Testing on local samples is recommended before finalizing settings.

Three common misconfigurations

The phenomenon: Imported marketing documents have empty or incorrectly formatted table and image recognition results. The cause: parse_image_enable configuration is not enabled, and table_parse_mode is not set to structured export mode.
The phenomenon: Parsing results do not include references field content. The cause: enable_reference_parse configuration is not enabled. This causes associated compliance reference text to be excluded from the parsing scope.
The phenomenon: Chunks exceed preset length without triggering truncation. The cause: Hard-coded max_chunk_size value in source code is modified directly, without adjusting via platform configuration items. This leads to configuration not taking effect or conflicting with the deployed version.

How to confirm configurations are correctly set

Upload a test marketing document that includes tables and images. Check if table structures and OCR text in parsing results are complete. Confirm configuration takes effect.
View parsing task logs. Confirm references field content has been extracted and associated with corresponding chunks. Verify compliance text parsing configuration works correctly.
Adjust the max_chunk_size configuration value. Upload a long document to test chunking results. Confirm chunk length meets preset requirements.
Submit a batch parsing task. Monitor whether task duration falls within the PARSE_FILE_TIMEOUT_SECONDS configuration range. Confirm timeout configuration is reasonable.

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.