Knowledge Base Retrieval and Recall for Industrial Metal

What Data for This Category Looks Like

The data for industrial metal financing daily reports comes primarily from commodity exchange warehouse receipt systems, publicly disclosed information from local commodity trading centers, and aggregated financial industry monitoring data. It is updated daily, with full-category data released on a T+1 schedule. Most documents are structured tables, with some accompanying industry analysis briefings. Core fields include report date, industrial metal category, warehouse receipt stock (unit: ton), daily financing amount (unit: yuan), financing subject type, and pledge term range.

Constraints for Knowledge Base Retrieval and Recall

The high-frequency daily update requirement for industrial metal financing daily reports mandates incremental document synchronization in the knowledge base. This avoids delays caused by full reindexing. The structured, multi-category and multi-field nature of the data requires retrieval and recall to support precise multi-field matching. It must cover dimensions such as category, date, and numerical ranges. Some documents include tables in PDF format. Structured parsing rules must be configured to extract valid fields, preventing unstructured text from reducing recall accuracy. Data formats vary across sources. Multiple import templates must be adapted to ensure consistent field mapping.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`recall count`	Top 10-15 entries	Industrial metal financing daily reports include multi-category entries per daily document, requiring sufficient relevant data to meet retrieval needs
`similarity threshold`	0.72-0.85	Structured field matching requires high matching precision to filter low-relevance non-target entries
`chunk length`	800-1200 characters	Balances field association completeness and context clarity, adapting to the parsing logic of table-based documents
`incremental sync cycle`	1 time per day, triggered at 00:00 daily	Matches the T+1 update rhythm of industrial metal financing daily reports, ensuring data timeliness
`field mapping rule`	Automatically match preset field sets based on document headers	Adapts to differences in daily report formats across sources, reducing manual configuration workload
`reranked return count`	Top 5 entries	Focuses on core financing data, reducing reading effort for final retrieval results

The parameter values provided on this page are common 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 against your own samples before finalizing.

Three Common Misconfigurations

Retrieval results fail to cover all target industrial metal category financing data, with entries for some commonly used categories missing from returned results. This occurs when the similarity threshold is set too high, or when multi-field matching logic is not enabled, filtering out eligible entries.
After calling the knowledge base tool in a workflow, returned results are empty, or the daily financing amount field cannot be extracted. This occurs when field mapping rules are not configured, preventing the knowledge base parsing module from matching document headers to preset fields, resulting in failure to recall valid data.
The same retrieval term returns inconsistent financing data across different time periods. This occurs when the incremental sync cycle is not configured, so the knowledge base does not update daily industrial metal financing daily report data, leading to mixed old and new data.

How to Verify Proper Configuration

Upload a historical industrial metal financing daily report document, check if parsed fields match the preset field set, and adjust field mapping rules until no obvious missing or incorrect fields remain.
Enter a retrieval term that includes a specific metal category and date, verify that the number of returned results matches the recall count configuration, and adjust the similarity threshold until results cover the target categories.
After configuring the incremental sync cycle, wait for one sync cycle, check if the knowledge base has added industrial metal financing daily report data for the corresponding date, confirming the sync logic works correctly.
Insert a knowledge base call node in a workflow, enter a test retrieval term, check if returned results can be properly called by subsequent nodes, confirming the tool chain has no abnormalities.

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.