Quality Problem Traceability and Defect Analysis for Printing and Packaging Processing: Knowledge Base Retrieval and Recall

The main entities in this category are color printing, label, carton, flexible packaging, and pharmaceutical packaging processing enterprises. Daily

What the data for this category looks like

The main entities in this category are color printing, label, carton, flexible packaging, and pharmaceutical packaging processing enterprises. Daily generated documents include pre-press files, imposition sheets, printing process sheets, ink color matching records, first-piece proofing samples, barcode detection records, die-cutting and lamination records. Data sources cover customer manuscripts, color management systems, printing press operation data, ink and substrate batch ledgers, spectrophotometer detection data, and barcode detector results. Updates trigger per order, per batch, or each time a plate is changed. A single data entry includes fields such as batch number, plate version, color parameters, and detection results.

Constraints on knowledge base retrieval and recall

These data characteristics create multiple constraints for the retrieval and recall link: High-frequency updates require the retrieval system to prioritize recalling the latest batch and plate version data. This avoids using expired process sheets that cause deviations in defect analysis. Multiple document types and structured fields such as batch number, color parameters require retrieval to balance text semantic matching and structured matching. Do not rely solely on keywords or vector-based methods. Business characteristics where errors such as typos, wrong plate versions, and barcode failures have serious consequences require high accuracy for recall results. Filter out low-correlation old version data.

Configuration Settings

All configurations below are based on FastGPT v4.17.0.

Configuration ItemRecommended SettingRationale
Similarity Threshold (similarity)0.75–0.85Printing and packaging data contains a large number of similar process sheets and color matching records. This range filters low-match results and avoids recalling old version data
Single Search Limit (limit)Top 10 entriesA single batch is associated with many data entries. Limiting returned entries ensures the context length meets model input requirements
Search Mode (searchMode)Hybrid ModeBalances text semantic matching and precise matching of structured fields such as batch number and plate version
Re-Ranking (usingReRank)EnabledPerforms secondary sorting of initial recall results by relevance to correct local deviations from vector retrieval
Query Extension (datasetSearchUsingExtensionQuery)EnabledAutomatically expands query terms for printing professional terminology to improve the recall range of professional content
Collection ID (collectionIds)Fill in according to the actual bound printing and packaging knowledge base collectionEnsures only exclusive data for the current business scenario is retrieved, avoiding cross-category interference

Three Common Configuration Mistakes

  • Valid results only appear after entering the same question twice. No match returns on the first retrieval. Cause: datasetSearchUsingExtensionQuery is not enabled during the first retrieval. Printing professional terminology queries are not expanded, leading to keyword matching failure.
  • The collection ID cannot be found, and a field empty prompt displays. Cause: The exclusive ID is not copied from the corresponding collection details page on the FastGPT knowledge base management page. The dataset ID is mistakenly filled as the collection ID.
  • Retrieval results include expired old version process sheets or first-piece proofing samples. Cause: The knowledge base collection is not updated according to order, batch, or plate change frequency. Or the similarity threshold is set too low, recalling low-match but expired old data.

How to Verify Successful Configuration

  • A printing professional scenario question, such as "Die-cut tolerance parameters for flexible packaging batches from September 2024", is input. Confirm if the corresponding batch printing process sheet is recalled.
  • The FastGPT knowledge base management page is accessed. Confirm that collectionIds for the target collection are correctly filled, with no empty values or incorrect IDs.
  • The same professional question is submitted twice. Confirm that valid matching results return on the first attempt, with no delays or no returns.
  • The retrieval log is viewed. Confirm that usingReRank and datasetSearchUsingExtensionQuery are enabled.

The values provided are common starting points and should be measured against the reader's own samples.