What the Data for This Category Looks Like
Grain reserve business data mainly comes from daily grain depot operation documents, including inventory inspection daily reports, rotation plan ledgers, policy subsidy allocation documents, warehouse inspection records, and more. Data update frequency varies by business stage: inventory daily reports update daily, rotation ledgers aggregate monthly, and policy documents release in phases. Document structures mix long-form policy descriptions and structured tables. Tables include fields such as grain variety, storage bin number, inventory quantity, rotation cycle, and more. Most units use tons, kilograms, or square meters. Some large summary files can exceed 10 MB per document.
What Constraints These Characteristics Impose on Document Parsing and Chunking
Structured table documents make up a high share of this category. During chunking, context association of table cells must be retained to avoid breaking field correspondence. The size difference between long-form policy documents and large summary files is significant, so different chunking strategies must be adapted to avoid vectorization exceptions. Frequently updated inventory daily reports require fast parsing processes; excessive parsing time reduces the response efficiency of service inquiries. The units of specific fields bind to their business meanings, so complete field context must be retained during chunking. Otherwise, unit confusion or missing information may appear in inquiry responses.
Reference only; verify against the target FastGPT release and deployment documentation.
How to Set the Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the mixed document structure of long text and structured tables for this category, retains field association while avoiding vectorization exceptions caused by excessive information in a single chunk |
chunkSplitter | Split by paragraph + table | Targets mixed document structures, prioritizes splitting long text by paragraph while retaining complete table structure to avoid breaking table fields |
customPdfParse | Enabled | Adapts to structured PDF reports, retains the correspondence of table cells and prevents table content from being split into scattered text |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Covers the size requirements of single large grain reserve summary files, prevents large file uploads from being blocked |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the parsing time of large-size reports, prevents timeout interrupts during the parsing process |
chunkSettingMode | Manual configuration | Adapts to the large differences in document structure for this category, allows adjusting chunking parameters for different document types |
Three Common Mistakes
- Phenomenon: After a reserve grain summary file larger than 10 MB is uploaded, 1000+ chunks generate, some chunks fail vectorization, and the interface displays vector generation exceptions. Cause:
chunkSizeis not adjusted to a reasonable range. An excessively small chunk length leads to insufficient information in a single chunk, and excessive splitting of large files triggers internal platform current limiting. - Phenomenon: After an online spreadsheet is imported into the knowledge base, fields such as bin number and inventory quantity cannot be correctly identified, only scattered text displays. Cause:
customPdfParseis not enabled. The default parsing mode cannot recognize the field association of structured tables, causing table content to scatter. - Phenomenon: Parsing timeouts still occur after multiple retries when uploading large inventory reports. Cause:
PARSE_FILE_TIMEOUT_SECONDSis not adjusted to above 600 seconds. The default timeout duration is insufficient to complete the parsing process for large files.
How to Confirm the Configuration Is Complete
- Upload a typical reserve grain inventory report PDF, view the parsed chunk list, and confirm that table content is not split into scattered text and cell correspondence is complete.
- Enter the backend configuration page, check the value of
UPLOAD_FILE_MAX_SIZE, and confirm it is set to 1000 MB or higher to cover common large file sizes. - Upload a rotation ledger file of around 10 MB, wait for parsing to complete, and verify that the number of generated chunks matches the
chunkSizesetting. - View the parsing logs, confirm there are no timeout errors or missing field records, and there are no abnormal prompts in the vector generation link.
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.