What this category's data looks like
This page addresses business basis queries in academic journal business cooperation management. The materials come from this park's business cooperation agreements, advertising review forms, and distribution cooperation materials. The three types of materials play different roles when entering this function: business cooperation agreements carry fields for cooperation entities, revenue sharing, and terms; advertising review forms carry fields for advertising content, review conclusions, and dates; distribution cooperation materials carry fields for distribution channels, quantities, and receipts. The update rhythm advances with cooperation cycles and review batches, and the same record may appear repeatedly across multiple materials. Field characteristics are concentrated in four categories: names, quantities, dates, and signatures. It is common for the same record to fail to match across two materials, for versions to be out of sync, or for signatures or receipts to be missing. After being segmented, these materials enter the knowledge base, where the index service and vector database build vectors and indexes, providing the recall basis for subsequent basis entries that can refer back to the original text.
Configuration and implementation checks
This step is executed by the index service and vector database, outputting vectors and index status (whether recall is possible, whether data in the same group is merged). "Basis entries that can refer back to the original text" are then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials). Retrieval first recalls vectors, then merges back to the original data according to the index field of the data row, 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; after changing the model, old vectors no longer match | Check the index model in the knowledge base settings, and confirm it is consistent with the model currently used for retrieval |
| Index field of the data row | Multiple vector identifiers for one piece of data are all present, and the status is indexed | Open a data row and check the index field, confirming that multiple vector identifiers are complete and the status is indexed |
| Rebuild task record | After changing the model, trigger only for data whose indexing has been completed; the coverage scope is consistent with the task record | View the data scope covered by the rebuild task record, and confirm that no data whose indexing has been completed is omitted |
| Business cooperation agreement and advertising review form | The name, quantity, and date of the same record match across the two materials, and signatures and receipts are complete | Extract the same record, compare the name, quantity, date, and signature across the two materials, and check the tokens of the cited text under the limit budgets |
Three common errors
- Symptom: duplicate entries appear in retrieval results. Inspect the following: multiple vector identifiers for the same group of data are not merged, the vector score does not take the highest score, and the same group of data is recalled as multiple entries.
- Symptom: recall quality declines after changing the model. Inspect the following: the rebuild task record only covers data whose indexing has been completed; data rows that cannot be rebuilt do not participate in recall, indexing must be completed first, and versions are out of sync.
- Symptom: a data row has content but cannot be retrieved. Inspect the following: the index field of the data row is missing vector identifiers, or the status has not reached indexed, and materials missing signatures or receipts are not included in the index.
How to verify the setup
This function's acceptance: extract a data row and inspect the index field, confirming that multiple vector identifiers are complete and the status is indexed; then retrieve once, and see whether the same group of data is merged and whether the score takes the highest value.
Business test: ask a cross-material basis question, for example whether the name, quantity, and date of the same cooperation record are consistent in the business cooperation agreement and the distribution cooperation material, and see whether the answer provides a traceable source.
- Check the index model in the knowledge base settings, compare it with the model currently used for retrieval, confirm they are consistent, and then view the data scope covered by the rebuild task record.
- Open a data row and check the index field, confirming that multiple vector identifiers are complete and the status is indexed, and record the tokens and array count of the cited text under
limit.