What Data for This Category Looks Like
Reference only; verify against the target FastGPT release and deployment documentation.
Constraints on Document Parsing and Chunking
The characteristics of power generation group documents impose multiple constraints on the parsing and chunking process. Long text and multi-table structures require parsing logic to balance semantic integrity and structured retention, to avoid splitting critical data blocks. Mixed document formats require the parsing engine to adapt to parsing rules for PDF, DOCX, PPT, and other formats, to avoid encoding or format parsing errors. Documents with different update cycles require flexible adjustment of parsing and chunking strategies, to meet differentiated needs of daily batch processing and large project documents. Professional fields and units require retaining field associations after chunking, to avoid information loss caused by data breaks.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Power generation group documents often contain long paragraphs and structured tables. This range retains semantic integrity and avoids splitting critical data |
chunkSplitter | Split by paragraph + table | Adapts to the large number of structured tables and long text paragraphs in documents, avoiding damage to data associations and table structures |
customPdfParse | Enable structured parsing mode | Power generation group PDF documents often contain fixed-format operation reports. Structured parsing can fully retain table and field structures |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to the upload needs of large-volume documents such as annual reports and large maintenance plans |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large-volume document parsing requires more time, to avoid timeout interruptions |
chunkSettingMode | Manual configuration | For different types of documents such as operation reports and bidding documents, chunking parameters can be flexibly adjusted |
Three Common Misconfigurations
- An error message "the argument ‘windows-1252’ is invalid encoding" appears when uploading DOCX or PPT documents. Cause: Custom encoding parsing configuration is not enabled. The default encoding adaptation does not match the GBK or specific encoding formats commonly used in power generation group documents.
- Table content is split into scattered fragments after chunking, and complete row data cannot be retained. Cause: The
chunkSplittersetting configured to split by paragraph + table is not used. The default character-by-character splitting logic is applied instead. - Parsing times out after uploading a large-volume annual report. Cause: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration value is too low. It does not match the processing time required for long document parsing.
How to Confirm the Configuration Is Correct
- Upload a typical power generation group operation report in PDF format. Check whether the parsed text retains the table structure and field associations.
- Adjust the
chunkSizeparameter. Verify whether the length of the chunked text falls within the preset range. - Upload documents in different formats (DOCX, PPT, XLSX). Confirm that no encoding errors occur during the parsing process.
- View the knowledge base metadata list. Confirm that associated information such as the file name and upload time of each document has been correctly extracted.
The values provided here 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.