What this category's data looks like
Daily documents for this category include process sheets, patterns, layout plans, cutting orders, first-piece sealed samples, process quality tables, and packaging size-matching sheets. Data sources include order and size charts, CAD patterns, fabric and accessory inspection records, hanging system data, needle detector outputs, and customer sealed sample materials. Data is updated per order, per style, and per batch. Process requirements, cut piece specifications, and packaging ratios vary significantly across different orders. Each individual document contains fields such as cut piece size, fabric batch number, process operation standards, and packaging size-matching rules. There are no unified fixed units; measurement methods including centimeters, piece counts, and batch numbers must be matched according to order requirements.
What constraints do these characteristics impose on knowledge base retrieval and recall?
Frequent data updates and per-order exclusivity require knowledge base retrieval to support fast index switching to avoid cross-order data confusion. Diverse document types include structured size charts and layout plans, as well as unstructured process descriptions, requiring retrieval logic adapted for multi-modal recall. Each individual document is highly targeted; retrieval must prioritize matching the current order's exclusive parameters, while controlling the scope of recall results to avoid interference from process data of unrelated orders. Additionally, cut pieces are irreversible and manual processes are intensive. The accuracy of retrieval results directly affects production quality, so redundancy of recall results must be strictly limited to prevent incorrect process parameters from being applied to production.
Configuration Settings
This configuration is based on FastGPT v4.17.0. Specific parameters and recommendations are listed below:
Choose a retrieval mode through representative-query testing; configure category, batch, or entity filters separately because the mode itself does not enforce those boundaries.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.72–0.85 | Accommodate subtle differences in process parameters within the category, and avoid recalling content from unrelated orders |
limit | Top 6–8 results | Control the number of results returned per retrieval round, adapting to the quick viewing needs of workshop workstations |
usingReRank | Enabled | Perform secondary sorting on initial recall results to strengthen relevance to equipment inspection and maintenance scenarios |
datasetSearchUsingExtensionQuery | Enabled | Expand relevant process and equipment terms based on the original query, adapting to retrieval needs for specialized terminology within the category |
collectionIds | Specify based on the knowledge base collection bound to the current order | Limit the retrieval scope to only exclusive documents of the current production batch, avoiding cross-order data confusion |
Three Common Configuration Mistakes
- Retrieval results fail to match specified knowledge base documents. Symptoms include the interface displaying "No relevant content matched" or returning an empty list. The cause is failure to correctly bind the current order's
collectionIds, resulting in retrieval scope exceeding the target document collection. - Knowledge base index switching triggers a 60-second timeout. Symptoms include a timeout error prompt popping up on the interface. The cause is that the current knowledge base collection contains a large number of unprocessed new documents, or the configured
limitvalue is too high, leading to system load overload. - Knowledge base content remains low but stays in training or rebuilding state for an extended period, and the enhanced processing function is unavailable. Symptoms include the backend showing "Training in progress" or "Rebuilding in progress" for more than 24 hours, and the enhanced processing option appearing grayed out on the interface. The cause is failure to split knowledge base collections by order batch, and the self-hosted deployment not being configured with an open-source enhanced processing module, resulting in the system being unable to efficiently process new documents.
How to Verify Proper Configuration
- An equipment inspection question targeting the current order's process is initiated, and returned results are verified to only include process sheets and equipment maintenance records for the current batch.
- The loading duration after switching knowledge base indexes is checked, confirming that no timeouts exceeding 60 seconds occur.
- Retrieval is tested using questions targeting non-current orders, confirming that documents from unrelated batches are not recalled.
- The knowledge base training status is checked, confirming that only new documents for the current batch are in the update process, with no full rebuild tasks active.
The values provided are common starting points and should be measured against samples relevant to the specific deployment.