What This Category’s Data Looks Like
Data sources for this category include customer drawings and special characteristic lists, ERP/MES systems, measurement and inspection tool data, equipment process parameters, and supplier quality certificates. Daily documents cover control plans, process flowcharts, work instructions, first-piece and patrol inspection records, SPC reports, PPAP materials, and 8D reports. Data is collected continuously on a per-batch, per-shift basis. Fields include equipment number, process number, batch number, special characteristic parameters, and others. Compliance with the quality system constraints of vehicle customers must be strictly maintained.
What Constraints Do These Characteristics Impose on the Knowledge Base Retrieval and Recall Link
The multi-source and scattered nature of this category’s data, including structured equipment parameters and unstructured operational documents, requires the retrieval and recall process to cover both structured field matching and semantic retrieval. Frequently updated characteristics require support for incremental synchronization to avoid resource occupation from full index rebuilding. Diverse document types require adaptation to different chunking rules to ensure key information is not truncated. At the same time, it is necessary to strictly match the customer’s special characteristic requirements, and retrieval results must be associated with compliance basis for corresponding batches and processes.
How to Configure the Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Filter low-relevance equipment inspection records, avoid retrieving irrelevant maintenance documents, and align with the strict compliance requirements of this category |
limit | Top 6–10 entries | There are many equipment-related documents for high-volume automotive component manufacturing. Retain sufficient context without exceeding the context window of FastGPT v4.17.0 |
usingReRank | Enabled | There are many professional terms in equipment inspection and maintenance. Re-ranking improves accurate matching and optimizes the relevance of retrieval results |
datasetSearchUsingExtensionQuery | Enabled | Extend retrieval for fields such as special characteristics and batch numbers based on user questions, aligning with the quality system constraints of vehicle customers |
collectionIds | List of dataset IDs grouped by equipment type | Precisely retrieve inspection and maintenance documents for corresponding components such as braking and steering systems, avoiding irrelevant results across categories |
Three Common Misconfigurations
- Phenomenon: Documents imported into the knowledge base are not split by process and batch dimensions. Retrieval cannot accurately match maintenance requirements for the corresponding production link. Cause: Custom chunking rules matching the chapter structure of control plans and work instructions are not configured. Direct use of default splitting rules leads to loss of key information.
- Phenomenon: Session context fails to properly associate previous equipment inspection records. Retrieval results are disconnected from the current question. Cause: The
datasetSearchUsingExtensionQueryparameter is not enabled, and equipment numbers and batch numbers from the session are not used as extended retrieval fields. - Phenomenon: Custom text understanding models cannot be added to the retrieval configuration, only default options are available. Cause: Multi-model support is not enabled in the system global configuration, and only the default retrieval model is retained.
How to Verify Successful Configuration
- Upload a work instruction document for the braking system. Retrieve questions related to inspection of the corresponding component. Check whether the retrieved results include key content from the target document.
- View the retrieval log to confirm that the number of retrieved documents falls within the range specified by the
limitparameter. - Test inputting a question containing special characteristic parameters. Confirm that retrieval results are associated with the corresponding customer special characteristic requirements.
- Compare retrieval results with
usingReRankenabled and disabled. Confirm that highly relevant documents are sorted to meet business needs.
All configuration values listed here are common starting points. Adjustments should be made based on the reader’s own specific samples and operational conditions.