What Data for This Category Looks Like
Precious metal-related marketing and business data primarily comes from three channels: public quotes from official precious metals exchanges, official brand marketing materials, and research reports from industry consulting firms. Real-time quote data updates every minute or hour. Marketing scripts and product manuals update as needed. Industry research reports update weekly or monthly. Document formats include three categories: structured purity quote tables with fields such as product ID, purity, unit price, etc.; analysis documents with price trend charts; and plain-text customer acquisition scripts and product descriptions. Fields and units must comply with industry standards. For example, unit price uses yuan/gram or yuan/kilogram as units. Purity is marked as AU9999, pure gold, K gold. Some documents also include additional fields such as processing fees and recycling prices.
Constraints on Document Parsing and Chunking
The multi-format and real-time nature of precious metal data creates multiple constraints for document parsing and chunking. Parsing processes must retain row-column correspondence for structured quote tables. Directly splitting plain text breaks the binding relationship between purity and unit price. When real-time quote data mixes with old marketing materials, parsing tools must separate chunks by timestamp to avoid mixing outdated quotes into valid content. Parsing processes must contain professional terms such as AU9999 and processing fee calculation formulas within a single chunk, and cannot truncate these terms. Parsing tools must not split numeric values with different units such as yuan/gram and yuan/kilogram into the same chunk. This split causes semantic confusion during subsequent retrieval. In addition, parsing tools must split short marketing script texts by scenarios such as customer acquisition and product introduction to avoid semantic mixing across scenarios.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Balances chunk density for structured tables and short text scripts in precious metal documents, and preserves the integrity of professional terms |
chunk_overlap | 100–150 characters | Prevents splitting of precious metal professional terms and price calculation logic, and avoids semantic breaks between chunks |
enable_table_parse | Enabled | Adapts to structured data such as quote tables and inventory tables commonly found in precious metal documents, and retains field correspondence |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large research report documents contain multiple charts and tables, requiring sufficient time to complete full parsing |
filter_recent_days | Set according to business requirements (usually 30–90 days) | Filters outdated quotes and marketing materials to improve the relevance of subsequent retrieval |
custom_parse_rule | Bind chunk boundaries by units such as "yuan/gram" and "yuan/kilogram" | Prevents numerical values across units from being split into the same chunk, and ensures accurate retrieval semantics |
The parameter values provided on this page are common starting points for configuration. The actual values are affected by material format, data volume and business rules. Specific issues require specific analysis, and testing on self-provided samples is recommended before finalizing the configuration.
Three Common Mistakes
- Phenomenon: Files uploaded via the create file collection API have inconsistent chunking results with files uploaded directly via the platform, with a significant deviation in the number of chunks. Cause: The
parse_modeparameter is not specified during API upload. The default parsing mode differs from the default mode of front-end uploads, leading to inconsistent chunking logic. - Phenomenon: After configuring custom URL parsing, the task shows success but the returned chunk data is empty, with no clear error message. Cause: The document corresponding to the custom URL cannot obtain complete content normally, or the request does not carry valid access permission parameters, resulting in no valid text or table data after parsing.
- Phenomenon: After enabling PDF enhanced parsing for version 4.9.0, the model cannot read the file content, and the console returns the
PARSE_FAILEDerror code. Cause: The local non-commercial version has not completed the deployment of the OCR component required for PDF enhanced parsing, or the component version is incompatible with the current platform version, resulting in parsing failure.
How to Confirm Proper Configuration
- Upload a test document containing an AU9999 quote table and processing fee instructions, view the parsed chunk list, and confirm that fields such as table purity, unit price, and processing fee are not split or misaligned.
- Compare the chunking results of the same test document uploaded via API and via the platform front-end, and confirm that the chunking logic and content consistency meet expectations.
- View the running logs of the parsing task, confirm that no timeout error corresponding to
PARSE_FILE_TIMEOUT_SECONDSis triggered, and there are noPARSE_FAILEDrelated errors. - Extract precious metal professional terms and units from the chunk content, and confirm that no term truncation or unit confusion occurs.
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.