Knowledge Base Retrieval and Recall for Dairy Product Intelligent Due Diligence Reports

Dairy product due diligence data mainly comes from raw and auxiliary material inspection reports, production batch records, supply chain traceability

What Data for This Category Looks Like

Dairy product due diligence data mainly comes from raw and auxiliary material inspection reports, production batch records, supply chain traceability documents, national food safety standard documents, and third-party quality inspection reports. Data update cadence aligns with production batch cycles: raw and auxiliary material batch data is updated daily, national standard documents are revised irregularly, and annual quality inspection reports are archived quarterly. Document structures include fields such as batch number, inspection items (e.g., fat content, total bacterial count), supplier information, production date, shelf life, and more. Most inspection item units use general food testing units such as mg/kg, %, cfu/g.

Constraints Imposed on Knowledge Base Retrieval and Recall

Dairy product inspection items are numerous and have strict unit requirements. Fields and numerical units must be matched precisely, otherwise the accuracy of due diligence reports will be compromised. Batch data is updated frequently, so incremental knowledge base updates must be supported to avoid data lag. Document lengths vary widely: there are multi-page long batch inspection reports as well as short-clause national standard documents, so different segmentation strategies must be supported. Supply chain traceability documents involve multiple entities, so associated recall must be supported to cover the complete due diligence chain.

Configuration Settings

Configuration ItemRecommended ValueRationale
Recall CountTop 10-15 entriesDairy product due diligence reports need to cover multiple inspection items and supply chain nodes. Too many entries will cause context redundancy, while too few will miss key traceability information
Similarity Threshold0.75-0.85Dairy product inspection indicators have strict numerical and unit requirements. Precise matching of inspection item names and units is needed to avoid mixing low-relevance results
Segment Length800-1200 charactersBalances long batch inspection reports and short-clause national standard documents, avoiding splitting that breaks the correlation of inspection values
PARSE_FILE_TIMEOUT_SECONDS300 secondsA single batch of dairy product inspection reports may contain multiple pages of inspection data, which takes longer to parse. The timeout period needs to be extended
Reranked Return CountTop 5 entriesSecondary screening of recall results to focus on the most relevant inspection standards and batch records, adapting to the quick review needs of due diligence reports
UPLOAD_FILE_MAX_SIZE2000 MBSupports uploading bulk supply chain traceability documents and annual quality inspection reports, meeting enterprise-level due diligence data storage requirements

The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are influenced by material form, data volume and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

  • Phenomenon: Published assistants allow unauthorized users to access other enterprises' dairy product due diligence knowledge bases. Cause: Knowledge base permission isolation configuration is not enabled, and no enterprise-specific access whitelist is bound.
  • Phenomenon: Inspection data that does not meet unit requirements appears in retrieval results. Cause: A reasonable Similarity Threshold is not set, leading to recall of content that does not match dairy product inspection indicators.
  • Phenomenon: A timeout error is triggered when parsing a single large dairy product batch inspection report. Cause: The set value of PARSE_FILE_TIMEOUT_SECONDS is too low, failing to adapt to the parsing requirements of long documents.

How to Verify Proper Configuration

  • Initiate a retrieval targeting dairy product inspection items, and verify that the fields and units of returned results match the target documents.
  • Upload a simulated large batch inspection report, and check that the parsing status is normal with no timeout errors.
  • After configuring access permissions, use an unauthorized account to attempt accessing the knowledge base, and confirm that relevant content cannot be retrieved.
  • Adjust the recall count and reranking parameters, then verify that the number and relevance of returned results meet the review needs of due diligence reports.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.