What this category of data looks like
The data for industrial metal financing daily reports primarily comes from warehouse receipt pledge filings at domestic futures delivery warehouses, industrial metal credit ledgers from commercial banks, and financing declaration information from commodity trading platforms. Data aggregation for each trading day is completed after market close, and the report is released in the early morning of the next trading day. Documents use metal categories as the core classification unit. Each category includes fields such as warehouse receipt weight, financing amount, financing period, and filing institution. Field units are uniformly tons, ten thousand yuan, and calendar days, with no additional nested sub-items.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The categorized structure of industrial metal financing daily reports requires that multi-turn dialogue must guide users to clearly specify a specific metal variety, to avoid overly broad retrieval that leads to mixed results. The daily update rhythm requires that prompts must clearly mark the timeliness boundary of the data, and inform users that the data is stock information released on the previous trading day. The fixed fields and unit requirements mean that prompts must uniformly constrain the output format, and retain specified units such as tons and ten thousand yuan to avoid unit errors or omissions. The multi-source data characteristic requires that knowledge base retrieval must prioritize matching structured fields related to industrial metal financing, while limiting the time range of retrieved content to valid data from the last 3 trading days.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | The individual document for industrial metal financing daily reports is relatively long, so multi-turn dialogue needs to retain sufficient historical interactions and knowledge base retrieval content |
RECALL_TOP_K | Top 6–8 entries | This category of data contains multiple structured fields. Too many retrievals will cause context overload, while too few will fail to cover complete category information |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Uploaded XLSX-format financing daily report files may contain multi-category historical data, leading to long parsing time |
SIMILARITY_THRESHOLD | 0.75–0.85 | Filter redundant retrieval content unrelated to industrial metal financing, and retain valid matched structured fields |
prompt_template | Fixedly specify the target metal variety, require output to retain tons/ten thousand yuan units, and mark that the data was released on the previous trading day | Match the format and timeliness constraints of this category of data to avoid output confusion |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapt to the size of archived historical files for industrial metal financing daily reports, to avoid upload failures |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: In multi-turn dialogue, the latest financing data results output by the AI will overlay content from the previous round of replies, resulting in duplicate fields. Cause: The prompt template fails to clearly restrict each output to only include the latest data for the currently queried variety, and fails to clear redundant historical fields from the context.
- Phenomenon: After enabling input guidance and configuring the word bank, the preset guidance questions do not appear in the dialogue interface. Cause: The input guidance switch for the dialogue interface is not enabled, or the guidance questions configured in the word bank are not bound to the industrial metal financing daily report scenario.
- Phenomenon: After uploading an XLSX-format financing daily report file, the AI prompts that it cannot read the file content. Cause: The XLSX file was not correctly imported into the knowledge base, or the configured file parsing timeout period is too short, causing large multi-category files to fail to complete parsing.
How to Confirm the Configuration is Correct
- Initiate a query targeting a single industrial metal variety, and check whether the AI output only contains financing data for that variety, with no mixed information from other categories.
- Check the input guidance area of the dialogue interface, confirm whether the preset guidance questions are displayed. If not displayed, adjust the binding scenario configuration for input guidance.
- Upload a moderately sized XLSX-format financing daily report file, wait for parsing to complete, then initiate a request to restate the extracted content, and check whether the AI can correctly extract the fields and values from the file.
- Initiate two consecutive queries, check whether the output of the second round does not overlay redundant fields from the first round, and confirm that the context cleaning configuration is effective.
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.