What the data for this category looks like
This category primarily includes enterprises engaged in color printing, labels, cartons, flexible packaging, and pharmaceutical packaging materials. Daily generated documents cover pre-press files, imposition sheets, printing process sheets, ink color matching records, first article signing samples, barcode inspection records, and die-cutting and lamination records. Data sources include customer manuscripts, color management systems, printing press operation data, ink and substrate batch ledgers, spectrophotometer test results, and barcode detector data. Updates trigger with each order, each production batch, or each plate change, with no fixed cycle.
What constraints do these characteristics impose on the knowledge base retrieval and recall link
High-frequency, non-fixed-cycle updates require the retrieval link to support on-demand synchronization or near-real-time incremental updates. Multiple types of documents are stored in mixed formats. Differentiated chunking rules must be configured for different structures such as pre-press files, process sheets, and inspection records. The data includes professional fields such as color parameters, barcode information, and batch numbers. Corresponding semantic index dimensions must be matched to improve accuracy. The volume of data per batch fluctuates with order scale, so adaptation to dynamic context length limits is required. Documents requiring strict verification such as first article signing samples and barcode inspections require precise matching of retrieval results to avoid recalling irrelevant content.
How to set the configurations
The following configurations are formulated based on the knowledge base retrieval and recall function of FastGPT v4.17.0:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Printing and packaging documents contain professional color and barcode fields. Matching accuracy must be ensured to avoid recalling low-relevance content |
limit | Top 8 | The number of documents related to a single production batch fluctuates greatly. 8 entries can cover the process and inspection related information of most orders |
usingReRank | Enabled | In scenarios with mixed multiple types of documents, re-ranking filters retrieval results with large semantic deviations and improves accuracy |
datasetSearchUsingExtensionQuery | Enabled | Can automatically supplement industry-specific keywords such as batch numbers and plate numbers based on user questions to match corresponding documents |
collectionIds | Specify corresponding IDs after dividing collections by document type | Documents such as pre-press files, process sheets, and inspection records have large structural differences. Divided collection retrieval reduces interference |
searchMode | mixedRecall | Balances semantic matching of professional terms and keyword matching of precise fields such as batch numbers |
Three common mistakes
- Phenomenon: Non-order-specific ink color matching records are mixed into retrieval results. Cause: The knowledge base collection is not divided by order batch, resulting in cross-batch documents being recalled.
- Phenomenon: Precise fields such as barcodes and batch numbers cannot be matched correctly. Cause:
datasetSearchUsingExtensionQueryis not enabled, and industry-specific keywords are not supplemented, resulting in semantic indexes failing to cover professional fields. - Phenomenon: Retrieval accuracy of imposition sheets and printing process sheets decreases. Cause: Differentiated chunking rules are not configured for different document types, and mixed chunking destroys the semantic integrity of professional content.
How to confirm correct configuration
- Upload one pre-press file and one printing process sheet corresponding to the same batch, retrieve the corresponding order number, and confirm that only related documents of this batch are recalled.
- Enter a question containing "barcode inspection", confirm that the results include barcode inspection records, and no low-relevance content is mixed in after re-ranking.
- Test document retrieval after replacing a printing plate, confirm that the system can synchronously update the retrieval scope.
- Adjust the
similarityparameter range, verify the rationality of matching accuracy changes with the parameter, and determine the threshold that meets business requirements.
The values given are common starting points and should be measured against the reader's own samples.