What the data for this category looks like
Data for comprehensive service marketing content primarily comes from product compliance manuals, customer service script libraries, offline event plans, rate disclosure forms, and marketing promotional materials. Update cadence: Compliance documents are updated irregularly per regulatory requirements. Event documents are updated in batches during marketing cycles. Script libraries are iterated quarterly. Document structures are mostly mixed format, including plain text clauses, structured tables, embedded promotional images, compliance document numbers and date fields. Fields include product codes, rates, event deadlines, and service clause numbers. Units include percentages, dates, currency units, and numbered formats.
What constraints do these characteristics impose on document parsing and chunking?
Mixed-format documents require the parsing module to support multi-modal parsing of text, tables, and images, to avoid missing visual information in marketing materials. Frequently updated documents require parsing processes to have low latency, ensuring the latest event plans and compliance content can quickly enter the retrieval chain. Non-fixed document structures require chunking strategies to adapt to content of varying lengths, avoiding splitting complete compliance clauses or event rules into semantically broken fragments. The need to retain structured fields requires parsed content to keep original field mapping relationships, enabling accurate subsequent retrieval and invocation.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_MODE | auto | Adapt to the mixed-format parsing needs of comprehensive service marketing documents, automatically recognize text, table, and image types |
CHUNK_SIZE | 800–1200 characters | Balance semantic coherence and retrieval accuracy of marketing content, avoid single chunks that are too long or too short |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Meet parsing time requirements for long compliance documents and batch marketing materials, avoid mid-process interruptions |
ENABLE_IMAGE_PARSE | true | Extract text and alt information from promotional images in marketing materials, fully retain visual content |
TABLE_PARSE_STRATEGY | structured | Retain structured fields of rate tables and event tables to facilitate subsequent accurate matching and retrieval |
PARSE_GPU_DEVICES | 0,1 | Adapt to the hardware configuration of dual 3090 GPUs, make full use of idle GPU resources to improve parsing efficiency |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: Parsing results do not include text information from embedded images, and image fields are empty. Cause: The
ENABLE_IMAGE_PARSEconfiguration item is not enabled, and multi-modal parsing function is not activated. - Phenomenon: Parsing tasks only use a single 3090 GPU, and remaining GPU resources are idle. Cause: The
PARSE_GPU_DEVICESparameter is not configured to specify multi-card scheduling, and only a single GPU is used by default. - Phenomenon: When parsing Excel files in batches, cell content with embedded images is lost. Cause:
TABLE_PARSE_STRATEGYis not set tostructured, only plain text is extracted and embedded resources are not processed.
How to confirm the configuration is correct
- Upload a single comprehensive service marketing document containing tables and embedded images, check the parsing results, confirm that structured table fields and image associated information are fully retained.
- Submit a batch document parsing task, check the system resource monitoring panel, confirm that multiple GPUs are being called normally and resource utilization meets expectations.
- Adjust the
CHUNK_SIZEparameter, compare chunking results under different configurations, confirm that semantic coherence meets business requirements. - Upload a document containing compliance document numbers and rate data, confirm that original fields and units in the parsing results are not tampered with or lost.
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.