Reference only; verify against the target FastGPT release and deployment documentation.
What the data for this category looks like
Business documents for power generation group process handling mainly come from internal business process manuals, power compliance approval forms, monthly maintenance ledgers, group-level compliance compilations, and similar sources. Update cadence adjusts in line with compliance requirements. Annual compliance documents are updated each year, and internal business processes are updated after major policy adjustments. Most document structures include fixed approval nodes, material lists, and time limit requirements, accompanied by a large number of structured tables. Fields include unit number, approval time limit, applying department, equipment model, and similar items. Units include working days, MW, sets, and similar units.
What constraints do these characteristics impose on the "document parsing and chunking" link?
Business documents of power generation groups contain a large number of structured tables and approval processes with fixed logic. The document parsing link must retain table structure and field integrity, and avoid splitting process content across nodes. Some single documents can reach hundreds of pages in length, with long parsing times, so longer timeout settings must be supported. Document types vary significantly: there are temporary approval forms spanning a few pages, as well as annual compliance manuals spanning dozens of pages. Flexible chunking configuration must be supported. At the same time, urgently updated business documents must be parsed quickly, and training delays cannot be caused by configuration restrictions.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Aligns with the length of single-segment information for approval processes and material lists in power generation group business documents, avoiding splitting content across approval nodes |
chunkSplitter | Split by title + paragraph | Matches the chapter- and node-based structure of business documents, preserving the logical integrity of approval processes |
customPdfParse | Enable table parsing mode | Adapts to the large number of tables in equipment ledgers and approval forms, restoring field and unit information |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses long text parsing times for single compliance manual-style documents, avoiding timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports uploading group-level annual compliance compilation documents to meet batch training needs |
chunkSettingMode | Manual configuration | Flexibly adjust chunking parameters for different types of business documents, adapting to differentiated content structures |
Three Common Misconfigurations
- Upload a PDF and receive empty search test results with no parsing completion prompt. The cause is that the table parsing mode of
customPdfParseis not enabled, so fields in form-style documents cannot be extracted, resulting in empty data processing links. - After local deployment, data processing is empty during knowledge base training. The cause is that the
UPLOAD_FILE_MAX_SIZEconfiguration is lower than the actual size of the uploaded document, and the file is truncated before being fully uploaded. - The conversation function sometimes malfunctions. The cause is that the
PARSE_FILE_TIMEOUT_SECONDSsetting is too short. Long document parsing is not completed before entering the training link, resulting in missing knowledge base content.
How to Verify Correct Configuration
- Upload a group internal approval form PDF, and check if the parsed text retains the table row and column structure and field units.
- Upload a compliance manual document with more than 500 pages, and confirm that no timeout error occurs during the parsing process.
- After adjusting the
chunkSizeparameter, confirm that the content displayed in the chunk preview interface does not span approval nodes or key process segments. - Test uploading documents of different sizes, and confirm that the upload progress and parsing status are displayed normally.
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.