What This Category's Data Looks Like
Data for this category primarily originates from the national unified construction project EIA declaration and approval system, ecological environment zoning control results, pollution discharge permit platform, and monitoring data. Commonly processed documents include environmental impact assessment reports/report forms, approval applications, public participation statements, technical evaluation opinions, EIA approvals, and similar materials. Most document structures include fields such as basic project information, EIA level determination, pollution prevention measures, public participation feedback, and involve units such as floor area and pollutant discharge volume. Data updates follow no fixed cycle, and are generated synchronously with project approval progress.
Constraints Imposed on Document Parsing and Chunking
Data sources span multiple government systems, and document formats include editable text and scanned documents. This requires the parsing link to support multi-format input. Documents have numerous fields with strong business relevance. When splitting content, it is necessary to avoid separating associated content such as basic project information and EIA level determination. As such, chunk length must match the length of a single business module. Data updates follow no fixed cycle, and a single parsing task may involve multiple batch documents. This means reasonable timeout and batch upper limits must be configured. Ledger summary requires accurate association of multiple documents for the same project, so chunks must retain project identification fields to avoid mixing content across projects.
Configuration Settings
The following configuration items are supported in FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the length of a single business module in EIA documents (such as pollution prevention measures) to avoid separating associated fields |
chunkSplitter | Split by heading hierarchy | EIA documents mostly use standard chapter headings; splitting by headings preserves the integrity of business modules |
customPdfParse | Enabled | Adapts to OCR parsing requirements for scanned EIA reports, extracting retrievable text content |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports uploading of large individual EIA reports, avoiding interruptions during batch parsing due to oversized files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to parsing time for multi-page large documents, preventing premature termination of batch tasks due to timeout |
chunkSettingMode | Manual configuration | For the fixed structure of EIA documents, manually adjusting chunk parameters to match business fields offers better adaptability than automatic mode |
Three Common Misconfigurations
- Batch uploading large numbers of EIA documents causes interruptions, and parsing cannot resume after restarting Docker. Cause: No reasonable
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSare set. Batch tasks exceed configured thresholds and are forcibly terminated, and no parsing breakpoints are retained. - Uploading EIA files via the dialogue box never triggers parsing, and no errors appear in the background. Cause:
customPdfParseis not enabled. Scanned EIA documents cannot complete OCR extraction, and the system does not trigger an error prompt. - Parsed documents cannot support content-based queries, and model outputs are unrelated to the document content. Cause:
chunkSizeis set too small, splitting a single business module into multiple chunks, leading to associated fields being separated. Retrieval cannot match complete business logic.
How to Confirm Proper Configuration
- Upload a single typical EIA report, review the parsed text content, confirm that OCR extraction results for scanned documents meet expectations, and verify the configuration status of
customPdfParse. - Batch upload 3 to 5 EIA documents of different formats, check that all parsing tasks complete without interruptions, and verify the reasonableness of
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSconfigurations. - Extract parsed chunk content, confirm that core identification fields such as project name and EIA level are retained, verify that chunks do not separate associated business content, and match the configuration logic of
chunkSizeandchunkSplitter. - Initiate a content query based on parsed documents, confirm that model outputs match the document content, and verify that the chunking logic adapts to the association requirements of EIA business.
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.