What this category of data looks like
Service consultation documents for fertilizers and pesticides come mainly from agricultural and rural affairs department record filings and public notices, enterprise-submitted product registration materials, field test reports, and policy notices. Data updates trigger when new pesticide registrations, policy revisions, or industry standards are updated, with no fixed cycle. Document formats include PDF registration certificate files, Word instruction manuals, and structured tables listing ingredients and dosage instructions. Fields include active ingredient content, applicable crop range, application dosage, and pre-harvest interval. Units include professional agricultural and chemical units such as grams per liter, milligrams per kilogram, hectare, and milliliter.
What constraints these characteristics impose on document parsing and chunking
Record-filing PDFs are mostly scanned documents with official headers and footers, or electronically formatted documents with complex layouts. Precise removal of redundant headers and footers is required during parsing. This prevents irrelevant information from being included in chunked content. Structured ingredient and dosage tables have tightly bound fields. Improper splitting will separate applicable crops and their corresponding application dosages into different chunks, which prevents accurate consultation matching. The chapter titles and main text of long policy documents are tightly linked. Chunking must preserve contextual associations. This avoids users receiving incomplete content when querying policy clauses. Unit conversion instructions attached to some documents must be bound to their corresponding entries. Otherwise, professional unit information for dosages will be lost during replies.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
customPdfParse | Enabled | Most fertilizer and pesticide record-filing PDFs are scanned documents or official formats with complex headers and footers; enabling custom parsing optimizes OCR recognition and redundant content removal |
chunkSize | 800–1200 characters | Documents include long policy texts and structured dosage tables; this range balances contextual completeness and chunk matching accuracy |
chunkSplitter | By paragraph + heading | Chapter titles and main text of documents are tightly linked; splitting by paragraph and heading preserves contextual associations between technical terms and their corresponding explanations |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing single multi-page test reports or batch record-filing documents takes significant time; this duration covers complete parsing requirements for most documents |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some enterprises submit large batch record-filing materials or long-cycle test reports; this upper limit meets conventional upload requirements |
chunkSettingMode | Manual configuration | Chunking requirements vary significantly across different document types (registration certificates, policies, instruction manuals); manual configuration adapts to specific use cases |
Three Common Mistakes
- A "CUDA out of memory" error occurs during parsing, and the system fails to recognize installed GPU devices. Cause: GPU drivers and CUDA environments are not correctly mounted in the FastGPT container. Most fertilizer and pesticide record-filing PDFs are multi-page scanned documents, and OCR computation during parsing is large, exceeding the video memory threshold allocated to the container.
- Structured dosage tables are split into multiple independent chunks, and corresponding applicable crop information cannot be associated. Cause:
chunkSplitteris not configured to split by heading + paragraph; the default chunking logic separates the table from preceding crop description text. - Parsing tasks fail directly due to timeout when uploading batch record-filing documents larger than 1GB. Cause: The configured value of
PARSE_FILE_TIMEOUT_SECONDSis lower than the actual time required for document parsing, failing to adapt to the parsing requirements of long fertilizer and pesticide documents.
How to Confirm Proper Configuration
- Upload a typical fertilizer and pesticide record-filing PDF. Review the parsed text content to confirm that redundant information such as non-body headers and footers has been effectively removed.
- Randomly select a structured dosage table entry. Verify that it and the corresponding applicable crop description text are integrated into the same chunk.
- Upload test documents of different sizes. Verify that parsing tasks complete within the preset timeout threshold.
- Adjust the chunk length configuration. Check that the generated chunk text length meets the preset range requirements.
The values given 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.