What the Data for This Category Looks Like
The data for precious metal financing daily reports originates from official public data channels of domestic precious metal exchanges and international precious metal markets. It is generated and released the day following the end of each trading day. Documents use a structured table format, with each row corresponding to a single trading product’s daily financing record. Fields include trading product code, daily total financing amount, average financing rate, shortest financing term, number of daily transactions, and additional relevant fields. Total financing amount is measured in yuan, financing rate is calculated on an annualized basis, term is measured in calendar days, and no additional unstructured note content is included.
Constraints Imposed on Knowledge Base Retrieval and Recall
The structured table format requires the retrieval process to retain field metadata for precise matching, to avoid field confusion caused by generic text retrieval. The daily incremental update feature requires the knowledge base to support incremental imports, to avoid resource consumption and time delays caused by full re-imports. The presence of multi-category fields requires retrieval to perform range filtering by trading product code, to prevent inclusion of financing data from non-precious metal categories. The short length of individual daily records requires the vector recall context length to adapt to short text scenarios, to avoid unnecessary truncation.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_STRUCTURE_MODE | Set to structured table parsing | Adapts to the structured table format of precious metal financing daily reports, retains field metadata for precise retrieval |
UPLOAD_INCREMENTAL_ENABLE | Enabled | Adapts to the daily incremental update of daily report data, avoids resource consumption from full imports |
RECALL_TOP_K | Top 10 entries | Covers financing data for mainstream precious metal products, ensures coverage of retrieval results |
SIMILARITY_THRESHOLD | 0.75–0.85 | Filters low-match irrelevant data, ensures relevance of retrieval results |
MAX_CONTEXT_LENGTH | 1200–1500 characters | Adapts to the single-product data length of a single daily report document, avoids truncating key fields |
EMBEDDING_MODEL | Fixed to text-embedding-3-small | Prevents vector matching accuracy fluctuations caused by automatic updates of the default embedding model |
The parameter values provided on this page are all common recommended starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on sample data specific to the deployment environment before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: After multiple consecutive calls to knowledge base retrieval, the matching accuracy of returned results decreases, and accurate results are returned for the same query after restarting a new session. Cause: No session context auto-cleanup rule is configured, and accumulated historical conversation vectors interfere with the vector recall weight of the current retrieval.
- Phenomenon: The vector matching accuracy of knowledge base retrieval fluctuates, and some precise fields cannot be recalled. Cause: The
EMBEDDING_MODELparameter is not fixed, and after the platform updates the default embedding model, the vector indexes of historical documents are not regenerated. - Phenomenon: After uploading precious metal financing daily report files, the parsed fields are missing or the format is chaotic. Cause: The
PARSE_FILE_STRUCTURE_MODEis not set to structured table parsing mode, and default generic text parsing is used, resulting in field loss.
How to Verify Proper Configuration
- Enter the knowledge base management interface, check the parsing status of imported files, and confirm that the parsing mode of all precious metal financing daily report files is structured table parsing.
- Enter a query that includes a specified precious metal product code, verify that the returned results only include financing data for that category, with no content from unrelated categories.
- Call the OpenAPI knowledge base retrieval interface, pass a test query, and verify that the number of returned results matches the configured
RECALL_TOP_Kparameter. - Test initiating more than 3 consecutive retrieval requests, confirm that there is no significant fluctuation in the matching accuracy of returned results each time.
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.