What this category of data looks like
The core data for this use case comes from contract systems, copyright registration records, content libraries, and complaint inboxes. Commonly processed documents include authorization contracts, copyright ledgers, takedown notices, and infringement complaint materials. Data updates occur per order or monthly. Most documents include structured fields such as rights holder, authorization scope, validity period, and infringement details, but do not follow a unified fixed format. Some materials are scanned documents or multi-format mixed documents.
What constraints do these characteristics impose on document parsing and chunking?
Large format differences between documents from different sources require parsing to support multiple file types. Long documents like authorization contracts require precise splitting of paragraphs related to authorization scope, to avoid separating rights boundaries across chunks. Infringement complaint materials are often scattered text, so they need to be chunked by complainant subject and infringement content. Scanned documents require additional image recognition processing. Per-order data updates require chunk results to link quickly to corresponding business orders, to avoid mixing content across orders.
The following configurations apply to FastGPT v4.17.0.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the paragraph length of standard documents such as authorization contracts and copyright ledgers, prevents excessive content per chunk from harming retrieval performance |
chunkSplitter | Split by paragraph + semantic meaning; enable OCR processing for scanned documents (takes ~20 seconds per page) | Adapts to natural paragraph breaks across multiple document types, avoids splitting core business content such as authorization scope, and supports parsing for scanned materials |
customPdfParse | Enabled | Adapts to scanned authorization contracts and multi-format mixed complaint materials, improves parsing completeness |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch uploads of copyright ledgers and takedown notice packages in single batches |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Matches the parsing time required for long-text infringement complaint materials, prevents mid-process timeouts that interrupt parsing |
chunkSettingMode | Manual configuration | Adjust chunking rules for different types of copyright documents to meet business scenario requirements |
Three common configuration errors
- Issue: Files uploaded via the create file collection API have inconsistent chunking results and different chunk counts compared to files uploaded directly via the platform. Cause: The default
chunkSplitterparameter configuration differs between the two upload methods. When no chunking rule is manually specified for API uploads, the general default value is used. Platform uploads use a default segmentation logic optimized for copyright documents. - Issue: After configuring a custom URL link to call the parsing tool, no parsing results are returned and no error messages are displayed. Cause: The document format targeted by the custom link is not covered by the platform's supported parsing range, or link permission restrictions prevent the platform from accessing the file content.
- Issue: After enabling the document parsing node, the model cannot read uploaded authorization contracts or complaint materials. Cause: The configured
UPLOAD_FILE_MAX_SIZEvalue is smaller than the actual uploaded file size, or thePARSE_FILE_TIMEOUT_SECONDSsetting is too short, causing parsing to terminate before completion.
How to verify the configuration is correct
- Upload a single typical document such as a standard authorization contract, review the parsed chunk list, and confirm that chunks cover core fields including rights holder and authorization scope.
- Compare the chunking results of the same document uploaded via API and via the platform, to confirm that the chunking rule configuration matches expectations.
- Test the parsing workflow for custom URL links, check that the target document content can be properly retrieved and parsed.
- Review parsing task logs, confirm that parsing time does not exceed the configured
PARSE_FILE_TIMEOUT_SECONDSthreshold, and that file size stays within theUPLOAD_FILE_MAX_SIZElimit.
The values provided here are common starting points, and should be evaluated against your own sample data.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.