What data looks like for this category
Documents involved in this category mainly come from the State-owned Assets Supervision and Administration Commission (SASAC) investment supervision system, enterprise ERP and project management systems, industry market data, audit and financial statements. The update frequency is quarterly. Daily processed documents include annual investment plans, project proposals, feasibility study reports, due diligence reports, asset evaluation reports, and post-investment evaluation reports. Most documents use a chapter-based structure, including fields such as basic project information, investment scale, implementation cycle, benefit analysis, and compliance description. Units are matched to meet business scenario requirements.
What constraints these characteristics impose on the "document parsing and chunking" link
Quarterly updated batch document requirements require the parsing link to support batch processing and unified configuration. Differences in structure across multiple document types require chunking logic to adapt to chapter divisions of different documents, avoiding splitting core argument paragraphs. Differences in data formats across multiple sources require parsing tools to support encrypted PDFs exported by systems, spreadsheet documents, and other formats. Core business links rely on accurate parsed content, requiring chunking to retain contextual associations to facilitate subsequent retrieval of key information such as investment review meeting materials and post-evaluation data. Errors may lead to state-owned asset losses or liability investigations, requiring the parsing link to have fault tolerance and exception reporting capabilities.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the paragraph length of technical and financial chapters in feasibility study reports, avoiding splitting complete content containing core indicators |
chunkSplitter | Split by paragraph + title | Matches the chapter structure of investment documents, retaining contextual associations between project titles and corresponding content |
customPdfParse | Enabled | Adapts to encrypted PDF formats exported by SASAC systems, retaining key information such as original document table of contents and table alignment |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Meets the parsing duration requirements for single large asset evaluation reports (up to dozens of pages) |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch upload of quarterly updated investment plan collection documents |
chunkSettingMode | Manual configuration | Adjust chunking parameters to adapt to business requirements for different document types such as feasibility study reports and post-evaluation reports |
Three common mistakes
- Phenomenon: A connection failure error occurs when calling marker-pdf, and the log shows that a local connection cannot be established. Cause: The marker-pdf service port was not correctly mapped during Docker deployment, or the locally independently deployed marker service was not started.
- Phenomenon: No parsing results are displayed after uploading a large feasibility study report, and a timeout prompt is shown on the interface. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the default duration is insufficient for parsing multi-page large documents. - Phenomenon: Key data from the financial chapter is missing from the parsed chunked content, and the corresponding fields are empty. Cause: The
chunkSizesetting is too small, splitting complete paragraphs containing financial indicators.
How to confirm the configuration is correct
- Upload a standard project proposal document, and check if the parsed chunked content retains core fields such as project investment scale and implementation cycle.
- Check the system backend parsing logs to confirm that no connection timeout or file size limit error has occurred.
- Try batch uploading 3 to 5 investment documents of different types to verify the completeness and consistency of parsing results.
Reference only; verify against the target FastGPT release and deployment documentation.
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.