What the data for this category looks like
Data sources for precious metals due diligence reports include Shanghai Gold Exchange public market data, London Bullion Market Association industry reports, enterprise physical inventory ledgers, and regulatory filing documents. Update rhythms vary: real-time market documents are updated daily, industry supply and demand research reports are released weekly or monthly, and inventory ledgers are updated in real time with physical deliveries. Most document structures include structured market tables, supply and demand balance details, and selected policy excerpts. Fields include product name, purity mark, weight, quote, inventory quantity, and more. Units cover grams, kilograms, ounces, yuan per unit weight, and other types. Some documents also include cross-page continuous data tables.
What constraints do these characteristics impose on the document parsing and chunking link?
The multi-structured table embedding feature of precious metals due diligence documents requires the parsing step to retain complete row and column structures, and avoid splitting binding content of values and units within cells. The diversity of units requires that chunking must retain contextual association between values and their corresponding units to prevent semantic breaks. Content density varies widely across different documents, and the semantic length gap between real-time market snippets and historical research reports is significant. This requires dynamic adaptation of chunking thresholds. Some documents have cross-page continuous data, so parsing needs to merge cross-page snippets to avoid loss of data association caused by chunking. In addition, documents that mix plain text and structured content require accurate distinction of different content types to prevent chunking logic from confusing information of different formats.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
TABLE_MULTIVECTOR_ENABLE | Enabled | Precious metals due diligence documents contain a large number of structured market tables. Enabling this option splits table rows and columns into independent vector units, improving accurate retrieval capabilities |
CHUNK_SIZE | 800–1200 characters | Precious metals documents mix numerical values, text, and multiple units. This range retains the binding context of values and their corresponding units, avoiding semantic breaks |
ENABLE_PARSE_PDF_ENHANCED | Enabled | Most due diligence reports are submitted in PDF format. Enhanced parsing preserves original layout and table structures, preventing chaotic content after parsing |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Large precious metals inventory ledger documents take longer to parse. This duration covers the parsing needs of most documents |
API_CHUNK_OVERLAP | 100–150 characters | Retains contextual overlap between chunks, preventing loss of association between cross-chunk numerical values and units |
PARSE_TABLE_MERGE_CELL | Calibrated based on actual testing | Some documents contain market report sheets with merged cells. Parsing logic needs to adapt to merged cells |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: When retrieving table data, only full-page text is returned, and specific cell content cannot be located. Cause: The
TABLE_MULTIVECTOR_ENABLEconfiguration is not enabled, and tables are not split into independent vector units. - Phenomenon: Table borders and row-column structures are lost after PDF document parsing, resulting in chaotic chunked content. Cause:
ENABLE_PARSE_PDF_ENHANCEDis not enabled. The default parsing does not retain the native layout information of the PDF. - Phenomenon: After chunking, "150" and "ounce" are split into different chunks. Cause: The
CHUNK_SIZEis set too small, and a reasonableAPI_CHUNK_OVERLAPis not configured, so the binding context between values and units is not retained.
How to confirm the configuration is correct
- Upload a test PDF containing structured market tables, check if the parsed content retains row and column structures, and verify if independent table vector entries exist.
- Call the knowledge base query interface, pass keywords related to precious metals market conditions, and check if the returned results contain precise cell-level table content.
- Upload an inventory document in multi-dimensional table format, pull it via API, and check if the returned fields include original unit information.
- View the parsing task log to confirm no
PARSE_FILE_TIMEOUTerror code appears, indicating that the parsing duration meets the configuration requirements.
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.