What the Data for This Category Looks Like
Party building learning data for the coal mine production sector mainly comes from party building study manuals, branch meeting minutes, party lesson training slides, and on-site learning ledgers issued by Party committees of state-owned coal enterprises at all levels. Update frequency: Monthly updates of daily branch learning materials, and quarterly synchronization of the latest party building deployment documents from superior Party committees. Document formats include PDF, Word, and a small number of scanned image files. Document structure includes fields such as document number, issuing unit, release date, and learning theme. Some documents mix safety production technical terms and party building theory content. Some tables contain statistical items with units, such as study duration and number of participants.
Constraints on Document Parsing and Chunking
Mixed safety production technical terms and general party building theory in party building learning documents cause term recognition bias in general parsing models. Enable targeted enhanced parsing capabilities to address this. A significant proportion of scanned image documents requires parsing tools that support complete OCR process adaptation. Long documents and multi-table structures increase per-document parsing time. Adjust timeout thresholds to avoid parsing interruptions. If multi-vector support is disabled for statistical table content with units, table information may be lost or semantically fragmented after chunking. This reduces subsequent Q&A accuracy. Frequently updated monthly documents require the parsing process to support stable batch processing.
How to Set the Configuration
These configurations are formulated for FastGPT v4.17.0:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
customPdfParse | Enable via checkbox | Adapt to parsing needs for scanned documents, mixed technical terms and party building content in coal mine party building documents |
chunkSize | 800–1200 characters | Balance semantic integrity of party building theory and production technical terms, avoid overly fragmented or overly long chunks |
chunkSplitter | Split by headings and paragraphs | Preserve document structure, avoid splitting coherent content such as branch meeting minutes and learning themes |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Adapt to parsing time of long documents, avoid parsing failure due to timeout |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Support uploading large party building study manuals and batch training slides |
chunkSettingMode | Manual configuration | Customize chunking rules for the mixed content characteristics of coal mine party building documents |
Three Common Misconfigurations
- Uploading a party building learning document in image format returns a parsing failure, with a
400 Bad Requesterror in the logs. The cause is that the enhanced parsing function corresponding tocustomPdfParseis not enabled, so non-standard PDF image documents cannot be recognized. - After deploying FastGPT locally, enabling enhanced PDF parsing fails to call the local MinerU interface. The cause is that the local access address of MinerU is not configured in the knowledge base settings, or the port is not open, resulting in connection timeout.
- After parsing tables containing number of participants and study duration in party building documents, the unit-containing numerical values in the tables cannot be extracted during Q&A. The cause is that multi-vector support for table data is not enabled, causing table content to be incorrectly split or lost.
How to Confirm the Configuration Is Correct
- Upload a scanned party lesson courseware, check if the parsed text includes handwritten annotations and technical terms from the original document, to confirm that the enhanced parsing function is active.
- Enter the knowledge base settings page, check the checked status of the
customPdfParseoption, to confirm it matches the configuration requirements. - Upload a party building study document containing tables, check the chunking results after parsing, to confirm that table content is fully retained and not overly split.
- Test uploading a large document under 1000 MB, confirm that the upload and parsing process does not trigger timeout or size limit error messages.
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.