What the data for this category looks like
Internal office documents for fertilizer and pesticide industries include production process specifications, pesticide registration filing archives, fertilizer formula manuals, employee training courseware, and department weekly and monthly reports. Update rhythm varies by document type: production specifications are updated every six months with process optimizations, registration archives are updated every quarter with industry policy changes, and employee manuals are updated annually with personnel adjustments. Document structures include long text paragraphs, structured tables with dedicated units (such as application rate marked as kilograms per hectare, liters per mu), scanned PDF historical archives, and some documents with nested multi-level directory structures.
Constraints Imposed by These Characteristics on Document Parsing and Chunking
Documents with long text and multi-level directory structures require chunking tools to accurately identify chapter hierarchies, to avoid splitting cross-chapter related content. The presence of scanned historical archives requires configuring OCR parsing functionality to ensure non-text format documents can be properly extracted. Structured tables with dedicated units require retaining the binding relationship between fields and units during chunking, to prevent data association breaks. Frequently updated production and registration documents require the chunking process to adapt to rapid re-parsing needs, to ensure data timeliness. The presence of internal exclusive terminology requires retaining terminology integrity during chunking, to avoid semantic fragmentation.
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 long paragraphs and table cells in fertilizer and pesticide documents, avoiding overly long single chunks that affect retrieval association |
chunkSplitter | Split by chapter titles | Matches the multi-level directory structure of documents, retaining the integrity of chapter content |
customPdfParse | Enable OCR mode | Adapts to text extraction requirements for scanned pesticide registration archives and historical production documents |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers the parsing time of long documents (such as complete fertilizer production SOPs), preventing parsing timeout failures |
chunkSettingMode | Manual configuration | For documents with dedicated units and terminology, flexibly adjust chunking rules to adapt to special formats for internal office use |
Three Common Mistakes
- Phenomenon: Document text is empty after parsing, or only a small amount of garbled code is extracted, and the interface shows parsing failed. Cause: OCR mode of
customPdfParseis not enabled, so image content in scanned pesticide registration documents cannot be recognized. - Phenomenon: Knowledge base search results are empty or have extremely low matching degrees, and the number of retrieved results is 0. Cause:
chunkSizeis set too large, splitting cross-chapter related content into a single chunk, leading to semantic association breaks that cannot be matched by the retrieval model. - Phenomenon: Parsing task returns a timeout error, with a 504 status code. Cause:
PARSE_FILE_TIMEOUT_SECONDSis set below 600 seconds, which cannot complete the parsing process for long documents (such as complete fertilizer production SOPs).
How to Verify the Configuration Is Correct
- Upload a scanned pesticide registration document, check whether the parsed text is fully extracted, to confirm that the OCR parsing function is working.
- Upload a long document with multi-level directories, check whether the chunked content is split by chapter, and no cross-chapter content splicing occurs.
- Upload a production specification document with more than 100 pages, wait for the parsing to complete and check the task status, to confirm that no timeout error is triggered.
- Retrieve internal exclusive terminology (such as "basal fertilizer application rate"), check whether the retrieval results include associated chunked content, to confirm that semantic association is retained during chunking.
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.