What this category's data looks like
This category's data looks like: Laboratory hazardous chemical procurement and ledgers involve three types of materials: procurement applications, usage registrations, and inventory ledgers, with fields including product name, specification, quantity, date, signature, and receipt. The materials come from purchase orders, usage forms, inventory sheets, and safety data sheets, and the update cadence changes with batches and monthly inventory counts. During multilingual materials and terminology processing, procurement applications and safety data sheets provide original names and translated names, usage registrations and inventory ledgers provide quantity and date fields, and the terminology glossary and comparison draft form a unified wording based on these.
Configuration and implementation checks
Configuration and implementation checks: This step is executed by the indexing service and vector database, outputting vectors and index status (whether recall is possible, whether data in the same group is merged). "Unified terminology glossary and comparison draft" is then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials).
| Object | Check | Verification action |
|---|---|---|
| Procurement application | Whether the product name, specification, quantity, date, and signature are consistent with the safety data sheet | Check the application form fields against the translated names in the safety data sheet, and inspect the signature and receipt |
| Usage registration | Whether the name, quantity, and date of the same record match between the usage form and the inventory ledger | Open a data row to check the index fields, and confirm that multiple vector identifiers are all present |
| Inventory ledger | Whether the version is synchronized, and whether records missing signatures or receipts are marked | View the data scope covered by the rebuild task, and confirm indexed and the rebuild task records |
| Safety data sheet | Whether multilingual terminology translated names can refer back to the original text | Sample three terms to check whether the wording is consistent throughout the document |
Three common errors
- Symptom: The name, quantity, and date of the same record do not match between the procurement application and the inventory ledger. Inspect the following: Multilingual materials and terminology processing were not unified, and versions were not synchronized.
- Symptom: After changing models, recall quality decreases, and data rows have content but cannot be retrieved. Inspect the following: Rebuilding is triggered only for data that has already been indexed, and the indexing model is inconsistent with the vector model actually used by the knowledge base.
- Symptom: Duplicate entries appear in retrieval results, and records missing signatures or receipts are mixed in. Inspect the following: Multiple vector identifiers for one piece of data are not merged, and the highest score is not taken for the same group of data.
How to verify the setup
Acceptance for this feature: Sample a data row to inspect the index fields and confirm that multiple vector identifiers are all present; then retrieve once to see whether the same group is merged, and check the status values against indexed and the rebuild task records.
Business test: Sample three terms to check whether the wording is consistent throughout the document, and verify limit, and the number of citations. The number of citations is the array length, and quoteMaxToken is the citation content budget; the two are not compared for equality.
- In the knowledge base settings, check the indexing model and confirm it is consistent with the vector model actually used by the knowledge base.
- Open a data row to check the index fields, view the data scope covered by the rebuild task, and confirm that after changing models, rebuilding is triggered only for data that has already been indexed.