What Data Looks Like for This Category
Data for this category originates from formula and process libraries, raw material batch records, reactor DCS systems, weighing systems, LIMS laboratory management systems, and warehouse systems of specialty chemical enterprises including coatings, resins, and agrochemical intermediates. Daily documents include batch production instructions, feeding verification sheets, reaction process records, cleaning validation records, inspection reports, deviation and change orders. Data is updated for each production batch and key process step. Data fields include batch number, feeding quantity, reaction temperature, cleaning confirmation records, and more. Units include kilograms, degrees Celsius, hours, and more. Due to multi-product production switching, cleaning validation records for corresponding batches must be associated.
Constraints for This Category’s Knowledge Base Retrieval and Recall
Multi-product batch switching production requires retrieval to accurately match current production batch process parameters and cleaning validation records. This prevents cross-contamination risks. High-frequency batch-updated data requires retrieval to support real-time association of latest batch records, deviation and change order information. Documents contain sensitive formula and process details. Retrieval must strictly limit authorized access scope, and recall content for corresponding scenarios by document type. Equipment inspection and maintenance needs cover multiple hardware types including reactors and weighing equipment. Targeted retrieval by equipment model and process step is required, along with association of historical maintenance and inspection records.
Configuration Settings
This configuration applies to FastGPT v4.17.0, customized for batch fine chemical synthesis scenarios.
| Config Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Matches the precision requirements for fine chemical process parameters, avoids recalling irrelevant non-current batch records |
limit | Top 8–12 results | Covers retrieval needs across multiple document types, while controlling context length to stay within model limits |
searchMode | mixedRecall | Balances semantic matching of process parameters and precise keyword matching of batch numbers and equipment IDs |
usingReRank | Enabled | Re-ranks recall results by relevance to improve accuracy for maintenance and inspection scenarios |
datasetSearchUsingExtensionQuery | Enabled | Expands retrieval scope to associate batch-related cleaning and deviation records |
collectionIds | Configured by production workshop/equipment type | Limits retrieval scope to avoid recalling irrelevant documents from other workshops or equipment |
Three Common Configuration Errors
- Retrieval result document links return an error message "Only support .txt, .m" when clicked. The cause is imported knowledge base documents include unsupported formats, and non-authorized document types are not filtered in retrieval configuration.
- After custom chunk length configuration, retrieved content is truncated or redundant. The cause is no reasonable chunk interval set based on the field length of documents in this category, such as feeding verification sheets including multiple sets of numerical records. This results in chunks that do not meet the semantic integrity requirements of process documents.
- A "Request failed with status code 400" error occurs during knowledge base import. The cause is import template not configured according to batch-associated document structure, leading to field format mismatch with system requirements, or abnormal extended query parameter configuration.
How to Verify Proper Configuration
- Enter current production batch equipment inspection or maintenance questions. Verify that recall results include corresponding batch cleaning records, maintenance history, and process parameter documents.
- Check the relevance scores of retrieval results. Confirm that the
similarityparameter value meets the precision requirements of the current scenario. - Test importing different types of process documents. Verify that retrieval configuration correctly limits the scope of recalled documents.
- After triggering retrieval, check that the number of returned results matches the
limitparameter configuration requirements.
The values provided are common starting points and should be evaluated against samples specific to the target deployment.