What the data for this category looks like
Data sources for jewelry intelligent due diligence reports include quality inspection reports provided by brands, supply chain traceability documents, product qualification files, and product detail documents exported from e-commerce platforms. Update cycles adjust based on new product launches, batch quality inspection updates, or compliance document changes, with no fixed schedule. Document structures typically include header pages, parameter table pages, and attachment pages. Core fields include material, weight, purity, style number, supplier qualification number, and others. Common units are grams, percentages, standard numbers, and similar. Some documents embed simple formulas for purity calculation.
Constraints imposed on document parsing and chunking
The multi-source nature of jewelry due diligence reports requires parsing tools to support multiple formats including PDF, Excel, and image-to-text conversion, to avoid supply chain data loss due to format incompatibility. Precise values and units of core fields require that parameters and their corresponding descriptions are not separated during chunking. Otherwise, subsequently extracted information such as weight and purity cannot be linked to their context. Multi-page documents and embedded table structures require retaining the original layout during parsing. Standard linear chunking will damage the integrity of quality inspection tables and affect subsequent field extraction. Frequently updated documents require the parsing process to support incremental updates, to avoid repeated parsing of full content.
Configuration settings
| Configuration Item | Suggested Value | Basis for This Selection |
|---|---|---|
PARSE_ENABLE_TABLE | Enable | Jewelry due diligence reports contain quality inspection parameter tables. Retaining table structure avoids field splitting errors |
CHUNK_SIZE | 800–1200 characters | Jewelry documents include continuous material descriptions and quality inspection data. This length preserves the complete context of a single quality inspection batch |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Some suppliers provide traceability documents with a large number of pages. Sufficient parsing time must be reserved |
UPLOAD_FILE_MAX_SIZE | 500 MB | Bulk imported supply chain document collections have a large total volume. This adapts to the single file limit |
CHUNK_OVERLAP_RATE | 10%–15% | Key data such as jewelry purity and weight often appear across chunks. Overlap ensures context association |
PARSE_ALLOWED_EXTENSIONS | pdf,xlsx,txt | Covers common document formats used in jewelry due diligence reports, preventing legitimate files from being blocked |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Phenomenon: The chunking preview page returns a prompt that "the file content cannot be read". Cause:
PARSE_ALLOWED_EXTENSIONSis not configured to include the.pdfand.xlsxformats commonly used for jewelry documents, resulting in legitimate files being blocked. - Phenomenon: Normal content of complex purity calculation formulas cannot be returned in the parsing result. Cause: The used parsing dependency version is lower than
v0.1.2, and does not support parsing of the purity percentage format common in jewelry documents. - Phenomenon: In the parsed chunks, the weight field is separated from the corresponding material description. Cause:
CHUNK_OVERLAP_RATEis set to 0, resulting in the loss of context for weight annotations across chunks.
How to confirm the configuration is correct
- Upload a single jewelry quality inspection report PDF, check whether the tables in the parsing preview retain complete quality inspection parameters and corresponding values.
- Enter the chunking preview page, verify that key fields such as weight and material appear in the same chunk or adjacent chunks.
- Adjust the
CHUNK_SIZEparameter, re-upload the same document, and compare the integrity of the chunking results. - Verify the parsing results of multi-page supply chain documents, confirm that the content of all pages is completely chunked.
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.