What Data for This Category Looks Like
Coal-electricity integration business documents mainly originate from business approval documents, equipment operation logs, safety work procedures, and dispatch orders across the entire coal mining and thermal power generation process. Data updates are generated synchronously when a single business process is completed. Routine operation and maintenance documents are updated quarterly.
Documents include structured table fields such as equipment number, production tonnage, and power generation amount, long text descriptions, and process node descriptions. Most fields use industry-specific units: coal production is measured in tons, and power generation power is measured in kilowatts. Some documents are multi-page PDF dispatch orders or large Excel business logs, containing cross-page process descriptions and data summaries.
Constraints Imposed on Document Parsing and Chunking
Structured tables account for a large share of coal-electricity integration business documents. Splitting only by natural paragraphs will split associated data within tables, leading to information loss after chunking.
Industry-specific fields and units require parsing to retain original field names and units, avoiding semantic deviation caused by generic standardization processing. Documents generated for a single business process may include cross-page process descriptions. Chunking must retain contextual connections between adjacent nodes, preventing split process logic from breaking.
Additionally, uploading and parsing large business log files imposes higher demands on the platform’s file size limits and timeout settings, requiring adaptation to processing needs for multi-page, high-capacity documents.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the average length of process descriptions and tables in coal-electricity business documents, avoiding information overload or over-segmentation in a single chunk |
chunkSplitter | Paragraph + table splitting mode | Retains the integrity of process nodes and tables, matching the structural characteristics of business documents |
customPdfParse | Enable table recognition mode | Improves parsing accuracy for structured content such as a large number of equipment logs and approval tables in documents |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Meets the upload requirements for large Excel business logs and multi-page PDF dispatch documents |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Reserves sufficient time for parsing large multi-page documents, preventing mid-process timeout failures |
chunkSettingMode | Manual configuration | Allows adjustment of chunking rules for different types of business documents, adapting to diverse business process scenarios |
Three Common Misconfigurations
- Symptom: After uploading CSV or Excel business documents, table fields in the parsing result are empty, and no table preview is displayed in the interface. Cause: The table recognition mode of
customPdfParseis not enabled, or the chunking rule for table splitting is not configured. - Symptom: After uploading a large business document, the parsing task times out and fails, returning timeout-related errors or status code 504. Cause: The value set for
PARSE_FILE_TIMEOUT_SECONDSis too small, failing to reserve sufficient parsing time. - Symptom: When searching for business processes after vectorization, adjacent approval nodes are split into different chunks, making it impossible to fully restore the process logic. Cause:
chunkSizeis set too small, orchunkSplitteronly splits by natural paragraphs, failing to retain cross-paragraph process context.
How to Verify Correct Configuration
- Upload a coal-electricity business document containing structured tables, check whether the parsing result fully retains table fields and content, and confirm that the table recognition configuration is active.
- Upload a single-page process description document, verify whether the chunked result retains complete process node context, and confirm that the chunking rule aligns with business logic.
- Upload a test file of a preset size, check whether the upload and parsing process completes within the preset timeout period, and confirm that the timeout configuration is reasonable.
- Adjust the chunk length parameter, compare chunking results under different configurations, and confirm that the chunk length matches the content density of current business documents.
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.