What this category of data looks like
Data sources for this category include the state-owned asset supervision and investment management system, enterprise ERP and project management systems, industry market data, audit and financial statements. Documents are updated quarterly. Daily processed documents cover annual investment plans, project proposals, feasibility study reports, due diligence reports, asset appraisal reports, and post-investment evaluation reports. Most document structures include modules such as multi-chapter technical demonstrations, financial calculations, and progress tracking. Some documents contain large numbers of embedded structured tables. Fields involve total project investment, construction period, production capacity attainment progress, and other items. Units include ten thousand yuan and calendar years.
What constraints do these characteristics impose on the "document parsing and chunking" link
Differences in data formats across sources cause format adaptation issues during parsing. Batch documents updated quarterly increase the concurrent pressure of parsing. The mixing of embedded structured tables and long-chapter text causes general chunking logic to have table splitting misalignment and chapter boundary recognition deviations. The accuracy of project-related fields directly affects the accuracy of subsequent Q&A. The parsing link must retain the binding relationship between fields and context to avoid loss of key information. At the same time, the document parsing process must comply with state-owned asset data security requirements and avoid the risk of content leakage.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the mixed structure of long-chapter text and embedded tables in documents of this category, avoiding context breaks caused by overly long single chunk or loss of key associations caused by overly short single chunk |
chunkSplitter | Split by page headers, page footers, and chapter titles | Matches the multi-chapter structure of documents in this category, retains the integrity of chapter boundaries, and avoids context confusion caused by cross-chapter chunking |
customPdfParse | Enabled | For complex tables and long text embedded in documents of this category, enabling custom PDF parsing retains original typesetting information and reduces the probability of table misalignment |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the parsing duration of single large feasibility study report or post-evaluation report, avoiding parsing failure caused by timeout |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Covers the upload requirements of single large project document of this category, meets the upper limit requirements for batch document processing |
chunkSettingMode | Manual configuration | Allows adjusting chunking parameters for different document types such as feasibility study reports and post-evaluation reports, adapting to differentiated document structures |
Three common mistakes
- Uploading a large feasibility study report results in parsing failure, with an error message indicating timeout. The cause is that the
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the default duration is insufficient to complete parsing of long documents. - Financial tables in uploaded PDF documents show row and column misalignment, with table fields out of order in the results. The cause is that the
customPdfParseconfiguration was not enabled, and the general parsing engine cannot retain the typesetting structure of complex tables. - Uploading a file via API integration results in an empty parsing result, with a 413 status code returned. The cause is that the
UPLOAD_FILE_MAX_SIZEparameter was not adjusted, and the file was blocked because it exceeded the platform's default upload limit.
How to confirm the configuration is complete
- Upload a single feasibility study report of around 100 MB, check whether the parsing progress is completed within 600 seconds to confirm that the timeout parameter configuration is effective.
- Upload a post-evaluation report containing nested tables, verify whether the table fields in the parsed text are consistent with the original document to confirm that the custom PDF parsing configuration is enabled.
- Test the chunked text blocks to check whether long chapters are completely split and retain the association with chapter titles, confirming that the chunk length and splitting rule configuration is reasonable.
- Check the data upload and parsing logs to confirm that no abnormal data outbound requests occur, complying with data security requirements.
The values provided are common starting points and should be measured 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.