What the data for this category looks like
Data sources for this category include customer drawings, special characteristic lists, ERP/MES systems, measuring and inspection tool readings, equipment process parameters, and supplier quality certificates. Daily documents cover control plans, process flowcharts, work instructions, first article and patrol inspection records, SPC reports, PPAP materials, and 8D reports. Data is collected and updated per batch, per shift, or continuously. Document fields include special characteristic numbers, process parameters, inspection results, batch numbers, and timestamps. Units include industrial standard units such as millimeters, newton meters, and batch identifiers.
Constraints on the Source Citation and Traceability Link
Dispersed multi-source data requires traceability to be precisely tied to specific batches and processes. This avoids cross-batch mix-ups that lead to errors in tracing batch quality issues. High-frequency updated real-time data requires the retrieval system to support near-real-time synchronization. This ensures cited content aligns with current production status. Diverse document structures require the system to adapt to field extraction across different formats. This ensures core quality information such as special characteristics and inspection results remains complete. Quality systems subject to strict vehicle customer constraints require citation traceability to be linked back to original documents and collection nodes. Key metadata cannot be omitted, otherwise customer audits cannot be passed.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
quoteMaxToken | 1200–1800 token | Matches the average length of single blocks in high-volume manufacturing documents, to avoid truncating critical special characteristic fields |
responseData | Includes batch number, process ID, inspection time | Meets core metadata field requirements for traceability needs |
detail | Enabled | Displays full original inspection records, to comply with traceability requirements for customer quality system audits |
| Single search limit | Top 10 entries | Matches the scale of multi-process inspection data for mass production, to avoid interference from redundant information |
| Chunk length | 800–1200 characters | Adapts to the paragraph structure of control plans and SPC reports, to ensure field integrity |
Three Common Misconfigurations
- Phenomenon:
quoteMaxTokenis set to 1500, but blocks longer than 1500 characters are still cited. Cause: The system matches content after chunking, and only limits the total context token count, not the character limit for single cited blocks. - Phenomenon: The knowledge base retrieves matching content, but the AI conversation only returns citation identifiers and no specific retrieval results. Cause: The input field for passing retrieval results to the AI conversation step is not configured in the workflow. This means the conversation step cannot access specific content.
- Phenomenon: An error occurs when clicking the input field when referencing a created plugin in another workflow. Cause: The input parameter mapping for the plugin is not configured correctly. The output fields from knowledge base retrieval are not bound to the input of the conversation step.
How to Verify Proper Configuration
- Upload a single PPAP document, submit a query that includes a specific special characteristic search, and check if the returned results include the complete cited source document name and batch number.
- Adjust
quoteMaxTokento different ranges, and verify if the truncation of returned cited content matches the expected settings. - Run a workflow that includes retrieval, HTTP processing, and AI conversation, and check if the conversation step carries the retrieved metadata information.
- Check the FastGPT v4.17.0 system logs to confirm that the configuration parameters carried in the retrieval request match the manually set values.
The values listed here are common starting points, and should be evaluated against the applicable operational samples.