What the data for this use case looks like
Data sources for grain reserve-related documents include daily grain depot storage ledgers, rotation approval documents, quality inspection reports, emergency reserve dispatch letters, and similar materials. Update rhythm aligns with storage operation progress, with no fixed cycle but high correlation with core actions such as inbound and outbound operations, rotation, and quality inspection. Most documents are fixed-format PDF or Word files, containing standardized fields including grain type, storage bin location, quality inspection indicators, inbound and outbound quantities, and more. Units include tons, kilograms, percentages, bin numbers, and others. Some documents contain multi-page or cross-page continuous table content.
What constraints these characteristics impose on document parsing and chunking
The standardized table structure of grain reserve documents requires the parsing step to retain complete table cells and field associations, avoiding cross-chunk splitting that breaks data logic. Multi-page continuous tables increase parsing time for single documents, requiring longer parsing timeout thresholds. Fixed fields and units require retaining adjacent field associations during chunking, and random splitting of cross-field paragraphs by character count must be avoided. Additionally, some documents contain cross-page continuous tables; parsing must avoid splitting table headers and content across different chunks, as this will prevent correct data association. Document size increases for scenarios such as annual summaries and batch ledgers, requiring larger upload file limits to avoid upload failures due to size restrictions.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Aligns with the structured tables and field lengths of grain reserve documents, avoids splitting critical field groups or table cells |
chunkSplitter | Split by paragraph + table boundaries | Addresses the large number of continuous tables in documents, prevents table content from being split across chunks |
customPdfParse | Enabled | Improves table recognition accuracy for fixed-format grain reserve documents, resolves misalignment issues from standard parsing |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Accommodates parsing time for large documents like multi-page ledgers, annual summaries, prevents task termination due to timeout mid-processing |
UPLOAD_FILE_MAX_SIZE | 100 MB | Supports batch uploads of annual storage files, avoids interception due to exceeding size limits |
chunkSettingMode | Manual configuration | For document structures in specific use cases, manual parameter adjustment better fits business needs than default settings |
Three Common Misconfigurations
- Parsed uploaded reserve ledger PDFs have misaligned tables, shown as disordered column widths and fields displayed across chunks. The cause is failure to enable
customPdfParseor configure table boundary splitting rules. - File upload fails during parsing, returning an upload interception prompt or parsing timeout status. The cause is failure to adjust
UPLOAD_FILE_MAX_SIZEorPARSE_FILE_TIMEOUT_SECONDSto values matching business documents. - Chunk results have broken fields, shown as a single set of quality inspection indicators split across two chunks. The cause is a too-small
chunkSizesetting that does not leave enough length to accommodate continuous field paragraphs.
How to Verify Proper Configuration
- A typical grain reserve ledger PDF should be uploaded, and parsed text checked to confirm complete table structure retention with no table content split across chunks.
- A single large annual storage summary file should be uploaded, and confirmation obtained that no upload interception occurs and the parsing task completes normally.
- The
chunkSizeparameter should be adjusted, the same document uploaded, and chunk results compared to confirm all critical fields are covered with no unnecessary splitting. - Parsing task backend logs should be checked to confirm no timeout errors and parsing time falls within the range of the preset
PARSE_FILE_TIMEOUT_SECONDS.
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.