What the data for this category looks like
Typically, core data for this category comes from ERP/WMS systems, barcode or RFID identification devices, procurement and production work orders, warehouse location management modules, AGV or conveyor systems, and weighing equipment. Daily generated documents include receiving slips, putaway slips, material picking and return slips, inventory transfer slips, inventory count sheets, lot ledgers, first-in first-out (FIFO) and expiration date records, and more. Fields cover material codes, lot numbers, warehouse location codes, expiration dates, inbound and outbound quantities, weighing data, and other related items. Data update frequencies fall into three categories: real-time (such as AGV position, warehouse location occupancy status), daily (such as material picking and return records), and monthly inventory (such as total inventory and slow-moving material statistics).
What constraints do these characteristics impose on the source citation and traceability link?
Multi-source data and differentiated update frequencies require the traceability link to distinguish retrieval timeliness between real-time logistics data and static ledger documents, to avoid using expired monthly inventory data for current exception handling. The existence of precise business fields such as lot numbers and warehouse location codes requires retrieval to prioritize matching core identifiers, rather than relying solely on general keyword matching. At the same time, errors in exception handling and process drafting for this category will directly lead to production line downtime and material waste. The traceability link must therefore ensure the uniqueness and relevance of cited data, preventing unrelated data across work orders or warehouse locations from being included in final content.
How to configure the settings
The following configurations are formulated based on the logic of FastGPT v4.17.0, optimized for traceability requirements in warehousing, lot management and in-plant logistics scenarios:
| Configuration Item | Recommended Value | Basis for This Value |
|---|---|---|
quoteMaxToken | 800–1200 token | This category of documents includes long fields such as lot numbers and warehouse location codes, so sufficient tokens must be reserved to fully present the original document metadata required for traceability |
| Similarity threshold | 0.75–0.85 | Precise matching of core business fields such as lot numbers and warehouse location codes is required to filter out irrelevant cross-category material data |
| Maximum single search results | Top 6 entries | This category of materials is associated with multi-dimensional information such as work orders, expiration dates, and logistics trajectories, and a small number of entries can cover the full-lot traceability requirements |
responseData | Return full metadata | Exception reports and process documents need to reference specific fields of documents such as lot ledgers and inventory count sheets, such as expiration dates, warehouse locations, and weighing data. Only returning summaries cannot meet traceability requirements |
detail | Enable detailed traceability | Exception reports for this category need to link to original documents such as receiving slips and inventory transfer slips. Detailed mode can directly link to original document links and field values |
| Maximum context length | 1500–2000 characters | Associated information such as work orders and AGV logistics trajectories must be retained to avoid truncation of key traceability links |
Three Common Misconfigurations
- Phenomenon: When configuring a knowledge base ID or citation variable, the initial output results are consistent, but an error is triggered when connecting application variables to the knowledge base, with the interface displaying "insufficient data source permissions" or "variable binding failed". Cause: The exclusive ERP/WMS data source permissions for this category were not correctly bound, causing the variable to fail to match the exclusive data pool of the warehouse module.
- Phenomenon: Mixed retrieval returns a large number of irrelevant procurement documents, and warehouse-related documents cannot be filtered out. Cause: Exclusive retrieval filtering rules for lot numbers and warehouse location codes were not configured, and only general keyword matching was relied on.
- Phenomenon: The cited lot ledger data does not match the material lot of the current work order. Cause: Secondary filtering by material code and work order ID was not set, causing redundant data across lots to be included in the traceability scope.
How to Confirm the Configuration Is Successful
- Manually enter a known warehouse lot number, confirm after retrieval that the returned documents include exclusive warehouse-related documents such as receiving slips and inventory count sheets corresponding to this lot, and that fields are complete.
- Trigger the exception report drafting process, check whether the cited traceability data includes exclusive business fields for this category such as warehouse location, expiration date, and AGV trajectory.
- Adjust the
quoteMaxTokenparameter value, observe whether the length of the returned traceability documents changes accordingly, and confirm that the parameter takes effect. - Test the scenario where application variables are connected to the knowledge base, confirm that there are no permission errors and the returned data matches the exclusive data source.
The values provided are common starting points and should be measured against the reader's own samples.