What the data for this category looks like
Documents generated across the full commodity trade workflow include annual trade framework contracts, single purchase and sales contracts, warehouse receipts, sea waybills, quality inspection reports, settlement statements, invoices, and more. Data sources are official documents generated at each trade node. Updates trigger with trade events: documents are created when contracts are signed, updated during settlement, and warehouse receipts are synced with goods entering or leaving storage. Most documents use fixed template structures, with fields such as commodity category, specifications, quantity, unit price, delivery location, transportation method, inspection standards, and liability for breach of contract. Units include tons, cubic meters, kilograms, USD per ton, CNY per cubic meter, and others.
Constraints imposed on document parsing and chunking
Commodity trade documents are often lengthy. A single contract or settlement summary can span dozens of pages. Long text chunking must balance context integrity to avoid splitting related business fields. Documents contain many structured tables and fixed-format fields. Parsing must accurately identify cell content and field correspondence. Chunking must not break business relationships within tables. Some documents are updated frequently during trade processes. Parsing and chunking workflows must adapt to dynamically updated document structures to avoid field misalignment or missing chunks.
Configuration settings
These configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Commodity trade documents mostly contain continuous business paragraphs. Excessively long chunks break context connections, while excessively short chunks increase retrieval overhead. This range is calibrated through testing to adapt to long business units |
chunkSplitter | By paragraph + fixed separators | Trade documents have fixed separation markers such as contract clauses and attachment lists. Prioritize splitting by business paragraphs to avoid splitting commodity names and their corresponding quantity fields |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single commodity trade summary document can reach dozens of pages. Sufficient parsing time must be reserved to avoid timeout errors |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch uploading multiple trade documents such as warehouse receipts and bills of lading, adapting to batch file processing needs in trade scenarios |
customPdfParse | Enable table recognition mode | Trade documents mostly contain structured tables with shipment quantities, unit prices, and other details. Enabling this mode accurately extracts cell fields and avoids parsing omissions |
chunkSettingMode | Manual configuration | Adjust chunking parameters for different types of trade documents (contracts/warehouse receipts/settlement statements) to adapt to their respective document structure characteristics |
Three common configuration mistakes
- A
timeout of 360000ms exceedederror occurs when uploading trade documents larger than 10 MB. The cause is failure to adjust thePARSE_FILE_TIMEOUT_SECONDSparameter. The default timeout duration is insufficient for parsing multi-page long documents. - Business fields are split incorrectly after chunking, such as separating a commodity name and its corresponding unit price into different chunks. The cause is failure to configure
chunkSplitterto split by business paragraphs, only using the default character-based chunking logic. - Custom parsing logic fails to adapt to the fixed format of trade documents, resulting in empty inspection standard fields. The cause is failure to write custom processing methods based on the template characteristics of trade documents.
How to confirm correct configuration
- Upload a standard commodity trade contract, check the field integrity in the parsing result, confirm that core fields such as commodity name, quantity, and unit price are not incorrectly split.
- Adjust
PARSE_FILE_TIMEOUT_SECONDSto 600 seconds, then upload a summary document larger than 10 MB, confirm that no timeout errors occur during parsing. - Configure
chunkSplitterto split by paragraphs, randomly select 3 chunks, confirm that each chunk contains a complete business logic unit, such as a contract clause or a set of related business fields. - Enable the table recognition mode of
customPdfParse, upload a warehouse receipt document containing a shipment quantity table, confirm that table cell content is fully extracted and included in the corresponding chunks.
The values provided are common starting points and should be evaluated against the samples relevant to the deployment.
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.