Document Parsing and Chunking for Urban Commercial Bank Marketing Content

The documents for urban commercial bank marketing content mainly come from the institution’s internal marketing material library, including wealth

What data for this category looks like

The documents for urban commercial bank marketing content mainly come from the institution’s internal marketing material library, including wealth product promotional brochures, community marketing copy, offline activity manuals, archived official account posts, and SMS marketing templates. Document update rhythms are flexibly adjusted based on marketing activities, with no fixed cycle. New documents are generated in batches during temporary activities or quarterly material updates. Document types mix structured tables and unstructured long texts, with fields including exclusive financial identifiers such as product codes, annualized yields, risk ratings, and minimum investment amounts. Units are mostly percentages, yuan, days, or years. Some documents contain in-house exclusive product abbreviations.

Constraints on document parsing and chunking

Urban commercial bank marketing documents contain exclusive financial fields and in-house abbreviations. Parsing processes must accurately extract field information to avoid incorrectly splitting associated content. Mixed document structures require parsing tools to adapt to both structured tables and unstructured text, ensuring typesetting information is not lost. Flexible update rhythms and batch material needs require the parsing process to have sufficient throughput and fault tolerance to avoid timeout during batch parsing. The existence of in-house exclusive abbreviations requires the parsing service to retain original text information, and not perform arbitrary replacement or splitting.

How to set configurations

Configuration ItemRecommended ValueRationale
PARSE_FILE_TIMEOUT_SECONDS300-600 secondsUrban commercial bank marketing documents often contain multi-page structured tables and long copy. Sufficient processing time must be reserved during batch parsing to avoid timeout interruptions
chunk_size800-1200 charactersDocuments contain associated financial fields such as annualized yields and risk ratings. Chunk length must cover complete information units to avoid splitting fields
chunk_overlap150-200 charactersFinancial field associations across chunks must be retained, ensuring complete product information can be associated during retrieval
UPLOAD_FILE_MAX_SIZE500 MBUrban commercial bank marketing materials often contain batch high-definition poster OCR text and multi-page brochures. Adaptation for large file uploads is required
enable_structured_parseEnabledUrban commercial bank marketing documents contain structured product tables. When enabled, it can accurately extract fields such as product codes and yields, improving chunking accuracy
custom_parse_service_urlCalibrated based on actual testingfastgpt 4.8.20-fix2 and above versions support custom parsing service configuration, adapting to the exclusive document format requirements of urban commercial banks

The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three common mistakes

  • Symptom: A 408 parsing failure status code is returned after uploading a PDF, and the interface displays "Request timed out". Cause: The PARSE_FILE_TIMEOUT_SECONDS parameter was not adjusted, and parsing time for urban commercial bank batch marketing documents exceeded the default threshold.
  • Symptom: Product yields and risk ratings appear in different chunks in the chunking result. Cause: The chunk_size setting is too small, failing to cover complete associated financial information units.
  • Symptom: No response is received after connecting to a custom parsing service, and no parsing results are generated after uploading a file. Cause: The access whitelist for custom_parse_service_url was not configured, and connectivity to the service is blocked due to urban commercial bank internal network restrictions.

How to confirm configuration is correct

  • Upload an urban commercial bank marketing document containing structured product tables, check the parsed field extraction results, and confirm that exclusive fields such as product codes and yields are fully identified.
  • Adjust the chunk_size and chunk_overlap parameters, check the chunk preview, and confirm that the same group of financial information is not split into different chunks.
  • Upload a single marketing document larger than the default upload limit, confirm that the upload and parsing processes complete normally, and verify that the UPLOAD_FILE_MAX_SIZE configuration takes effect.
  • After connecting to a custom parsing service, send a test request to the service address, and confirm that the returned parsed text format meets the typesetting requirements of urban commercial bank marketing documents.

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.