What this category's data looks like
This page's materials center on kindergarten health care and meal management. Sources include quantified recipes, food procurement orders, retention sample records, disinfection records, absence cause registration, and parent notification drafts, with an update cadence rolling by day, week, and month. Food ingredient names and specifications, retention sample times and batches, disinfection periods, and absence cause classification form the field skeleton. In multilingual materials and terminology processing, the Chinese source text, translated names, batch numbers, and period labels simultaneously enter the indexing service and the vector database: the source text and translated names generate text vectors, while batch numbers and periods are retained as back-referenceable fields to provide supporting materials for subsequent retrieval and citation trimming; the terminology glossary and comparison drafts are completed separately by subsequent steps.
Configuration and implementation checks
This stage is executed by the indexing service and the vector database, outputting vectors and index status (whether recall is possible, whether data in the same group is merged). The unified terminology glossary and comparison drafts are then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials). Vectors are stored in the vector database, while the original data is stored in data tables in the business database, with index fields recording the corresponding multiple vector identifiers; retrieval first recalls vectors, then merges back to the original data by identifier, taking the highest score for the same group of data.
| Object | Check | Verification action |
|---|---|---|
| Index model | Consistent with the vector model actually used by the knowledge base, determining whether translated names and source text can be recalled in the same space | Check the index model in the knowledge base settings, and confirm that after changing the model, the rebuild task record covers the data that has already been indexed |
| Index field of the data row | All multiple vector identifiers of one data item are present, and the source text and translated names in the same group can be merged | Open a data row and check the index field, confirm the status is indexed, and record the number of vector identifiers |
| Food ingredient name and specification materials | The recipe and procurement categories are consistent, and the specification wording is unified throughout | Compare the quantified recipe with the procurement order, sample three food ingredient names to check whether the wording is consistent throughout, and check how maxToken and defaultToken split long entries |
| Retention sample time and batch materials | The documents and retention sample batches match, and no disinfection period is missing | Compare the retention sample records with the disinfection records, sample three batch numbers and period labels to check whether the wording is consistent throughout, and record the number of items in the citation array |
Three common errors
- Symptom: duplicate entries appear in retrieval results. Inspect the following: the same group of source text and translated names corresponds to multiple vector identifiers, and when merging back to the original data, the highest score was not taken for the same group.
- Symptom: the documents and retention sample batches do not match. Inspect the following: batch numbers are written differently in procurement orders and retention sample records.
- Symptom: disinfection records are missing periods. Inspect the following: period labels have inconsistent translated names in disinfection records and notification drafts, and data in the same group is not merged.
How to verify the setup
Acceptance of this feature: sample one data row and look at the index field, confirm that multiple vector identifiers are all present and the status is indexed, then retrieve once to see whether the same group is merged and whether the highest score is taken.
Business test: sample three terms to check whether the wording is consistent throughout, and check that translated names can back-reference the source text.
- After changing the model, check the data range covered by the rebuild task record, and confirm that rebuild is triggered only for data that has already been indexed.
- Check the relationship between the tokens of the cited text and
limit; record the number of array items separately, and do not compare it for equality with the citation budget.