What This Category’s Data Looks Like
Data related to plastic injection molding equipment inspection and maintenance comes from sources including resin batch property sheets, injection molding machine operating parameters, mold temperature controller data, Manufacturing Execution System (MES) records, and product dimension and appearance inspection results. Daily documents include injection molding process cards, raw material drying logs, mold history records, first article inspection reports, team patrol inspection forms, and material change and machine cleaning records. Data updates are triggered by production batches, mold/raw material changes, and team shifts, with no fixed schedule. Each single update is tied to the current production stage. Documents include both structured parameter tables and unstructured operation records. Fields include process parameters such as temperature, pressure, and time, with units including degrees Celsius, megapascals, seconds, and others.
Constraints Imposed on Knowledge Base Retrieval and Recall
Frequent data updates tied to current production require retrieval to support real-time or near-real-time data synchronization, to avoid retrieving outdated process parameters. Mixed structured parameters and unstructured records require retrieval to support both keyword matching and semantic understanding, to effectively retrieve content from parameter tables in process cards and colloquial descriptions in patrol forms. Process parameters with multiple units require retrieval to support unit completion and matching, to prevent retrieval failure due to missing units. Severe consequences of equipment faults require retrieval results to maintain a high confidence level, reducing the probability of irrelevant documents being incorrectly retrieved.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Fault descriptions for injection molding (such as shrinkage, flash) have high semantic similarity requirements. This interval filters low-relevance results while retaining valid matches. |
limit | Top 6 entries | The volume of fault-related data for a single injection batch is limited. Too many results will exceed the context window, affecting the accuracy of large model responses. |
usingReRank | Enabled | Semantic connections between injection molding process parameters are complex. Reranking filters results that appear similar on the surface but do not match parameters, improving retrieval precision. |
searchMode | embedding | Inspection personnel’s questions often use colloquial expressions, such as "what to do if mold temperature is too high". Semantic retrieval is more suitable for this scenario than keyword matching. |
datasetSearchUsingExtensionQuery | Enabled | Inspection personnel’s questions often omit parameter units, such as only saying "mold temperature is too high". Extended queries can supplement common units, improving matching success rate. |
collectionIds | Bind to the dedicated knowledge base collection for plastic injection molding | Limit the retrieval scope to this category’s equipment documents to avoid redundant data from other categories, ensuring retrieved content matches the current production scenario. |
Three Common Configuration Mistakes
- Symptom: Slow operation xxxxms error logged during knowledge base file parsing. Cause: No reasonable chunking parameters set for large-sized injection molding process cards (individual documents can exceed thousands of characters), leading to chunking processing timeout.
- Symptom: Error message "insufficient_quota Current group upstream load is saturated" returned. Cause: No reasonable
limitparameter set. A single retrieval request carries too much context data, triggering upstream load restrictions. - Symptom: Some patrol inspection form files do not generate question-answer pairs. Cause:
datasetSearchUsingExtensionQueryis not enabled. Non-standard fields in files, such as recycled material ratio, are not correctly identified as retrieval keywords, causing chunking failure.
How to Verify Successful Configuration
- Upload one injection molding machine parameter document and one mold temperature controller record. Retrieve "how to adjust when mold temperature is too high", and verify that returned results include mold temperature controller parameter adjustment ranges and corresponding process requirements for the injection molding machine.
- Check the FastGPT v4.17.0 knowledge base parsing logs to confirm there are no slow operation-related errors, verifying that chunking and retrieval parameter settings are effective.
- Initiate multiple patrol questions with different phrasing, such as "how to fix shrinkage", "what to do if product shrinks". Verify that the
similarityscores of returned results fall within the preset 0.75–0.85 interval. - Check the source tags of retrieval results to confirm they only come from the dedicated knowledge base collection for plastic injection molding, with no documents from other categories included.
The values provided here are common starting points and should be evaluated against the reader’s own samples.