Internal Office and Employee Services for Market Entity Registration and Licensing: Document Parsing and Chunking

Internal Office and Employee Services for Market Entity Registration and Licensing: Document Parsing and Chunking This document applies to FastGPT v4.17.0.

Reference only; verify against the target FastGPT release and deployment documentation.

What the data for this category looks like

Documents in this category are primarily market supervision standard forms and enterprise operation materials. These include establishment registration applications, articles of association, shareholder resolutions, residence certificates, business licenses, food business license applications, and more. Data sources cover the full-process electronic enterprise registration system, the National Enterprise Credit Information Publicity System, the electronic business license system, and the residence information database. The update frequency is daily. Most document structures mix structured fields and unstructured paragraphs. Exclusive business fields include unified social credit code, residence address, shareholder information, and license category.

Constraints on Document Parsing and Chunking

High-frequency daily updated data demands a stable parsing process to avoid timeouts or parsing errors. Accurately extract fixed fields from standard forms. Unstructured materials such as shareholder resolutions and residence certificates require reasonable chunking to retain contextual logic. Mixed-format documents from multiple sources adapt to different parsing rules for scanned documents and structured exported text. Exclusive business fields such as unified social credit code and pre- and post-license conditions retain cross-field associations during chunking. This avoids losing logical connections after splitting, and adapts to subsequent material verification workflows.

How to Configure the Settings

Configuration ItemRecommended SettingRationale
chunkSize800–1200 charactersAdapts to the field length of standard forms and mixed documents, retains complete logical blocks of materials such as shareholder resolutions and residence certificates
chunkSplitterSplit by paragraph + semantic splitAdapts to mixed-structure documents, avoids breaking the association between standard fields and unstructured paragraphs
customPdfParseEnabledAdapts to scanned documents and standard PDF forms, accurately extracts structured business fields
UPLOAD_FILE_MAX_SIZE1000 MBAccommodates bulk enterprise registration application attachment packages, matches daily office file transfer requirements
PARSE_FILE_TIMEOUT_SECONDS600 secondsAddresses time consumption requirements for bulk file parsing, avoids parsing interruptions in high-frequency update scenarios
chunkSettingModeManual configurationAdjusts chunking rules flexibly for exclusive business fields and business logic, to adapt to information extraction in material verification workflows

Three Common Misconfigurations

  • Phenomenon: An HTTP call to a third-party collaborative storage platform returns a 403 status code or request timeout, and variable storage cannot be completed. Cause: The application permissions and request format of the corresponding platform are not correctly configured, and the calling requirements of FastGPT are not met.
  • Phenomenon: After uploading multiple enterprise registration-related files, the parsing results cannot distinguish the chunked content of each corresponding file. Cause: File metadata association configuration is not enabled, and file identification information is not retained during chunking.
  • Phenomenon: Knowledge base search tests fail to return content related to pre- and post-license conditions. Cause: chunkSize is set too small, splitting associated license conditions and subject information into different chunks, leading to failure to recall complete associated information during search.

How to Verify Proper Configuration

  • Upload a single establishment registration application PDF, view the parsed chunked content, and confirm that exclusive fields such as unified social credit code and residence address are not split.
  • Upload bulk shareholder resolution and residence certificate files, check whether each chunk includes the metadata identifier of the corresponding file, to distinguish parsing results from different files.
  • Set PARSE_FILE_TIMEOUT_SECONDS to 600 seconds, upload a bulk attachment package under 1000 MB, and confirm that no timeout error appears in the parsing status.
  • Initiate a knowledge base search test, enter "preconditions for food business license", and confirm that complete chunked information containing this content is returned.

The values provided here are common starting points, and should be evaluated against the reader's own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.