What the data for this category looks like
Marketing content data for the apparel and home textile sector comes primarily from internal brand material packs, product detail texts exported from e-commerce platforms, offline shopping guide training documents, and supply chain fabric test reports. Update rhythm aligns with new product launch cycles. Update frequency is higher during periods with concentrated new product launches, and adjusted on demand during regular periods. Documents typically include fixed structural modules: fabric parameters, product specifications, usage scenarios, marketing copy, and washing guidelines. Fields and units include fabric weight (grams per square meter), yarn count (counts), standard apparel size labels, washing water temperature (degrees Celsius), and product quantity (units), among others.
What constraints these characteristics impose on document parsing and chunking
Documents in this category contain large volumes of professional fabric parameters, structured tables, and templated marketing copy. These create multiple constraints for parsing and chunking. First, fabric parameter modules include professional units such as weight and yarn count. Parsing must accurately identify the binding relationship between parameters and units to avoid separating parameters from units after chunking. Second, splitting structured content such as size charts and washing instruction tables via regular line breaks risks breaking their associated internal data. Prioritize identifying table structures before performing chunking. Third, marketing material packs often contain repeated brand standard copy. Chunking processes must avoid over-splitting related selling point paragraphs. Fourth, document update frequency is high. The system must support rapid adaptation to newly added product module content.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Apparel and home textile marketing documents often include PDFs or PPTs embedded with high-resolution product images, resulting in large single-file sizes. This setting adapts to standard upload limits |
PARSE_TABLE_ENABLE | Enabled | Documents contain structured tables such as size charts and fabric composition tables. Enabling table parsing preserves data association relationships |
CHUNK_SIZE | 800–1200 characters | Marketing content often includes long selling point paragraphs. This range preserves the integrity of individual selling point paragraphs while avoiding excessively long single chunks that impact retrieval |
SEPARATOR_CUSTOM | ---,【Marketing Module】,【Product Parameters】 | Brand marketing documents often use divider lines or module titles to separate different content blocks. Custom separators enable precise chunking by module |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Large PDF documents include multiple pages of product details and images. Extending the parsing timeout allows complete loading and parsing |
CHUNK_OVERLAP | 100–150 characters | Fabric parameters and marketing selling points often have cross-paragraph associations. Overlapping chunks preserve contextual connections and avoid losing critical information during retrieval |
The parameter values provided on this page are standard starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Uploading a 3 MB PDF file triggers a parsing failure error. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. Parsing large image-containing PDFs takes longer than the default timeout threshold. - After configuring custom separators, chunking still merges multiple paragraphs or splits individual paragraphs. Cause: The actual separator markers used in the document were not matched. Some brand documents use full-width Chinese separators instead of half-width separators, or omit adding module titles to the separator list.
- Unable to import Excel-format marketing ledger files. Cause: Parsing support for the corresponding format was not enabled, or the uploaded file extension does not match the actual file format.
How to verify configurations are correctly set
- Upload a single test document containing fabric tables and marketing copy. Check if the parsed text preserves the binding relationship between parameters and units within tables, to confirm the
PARSE_TABLE_ENABLEconfiguration is active. - Manually mark the separation modules within the document. Compare whether the boundaries of the parsed chunks match the marked positions, to confirm the
SEPARATOR_CUSTOMconfiguration matches the document format. - Check the character length of the chunks. Adjust the
CHUNK_SIZEvalue to fall within the range that meets business requirements, to confirm the integrity of individual chunks. - Upload test files of different sizes. Confirm that the upload and parsing processes do not trigger timeout errors, to verify that the
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSconfigurations adapt to current document scales.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.