What the data for this category looks like
Snack food data sources include supplier qualification documents, third-party batch quality inspection reports, supply chain traceability ledgers, e-commerce platform sales data, and industry association sampling announcements. Update cadence varies by data type: third-party quality inspection reports are updated with production batches, supply chain ledgers are adjusted dynamically with supply cycles, and e-commerce sales data is synced daily. Document structure falls into two categories: standardized reports and non-standard ledgers. Standardized quality inspection reports include batch numbers, production dates, test items and corresponding values. Non-standard ledgers include supplier names, supply batches, and corresponding raw material information. Special rules apply to fields and units: total bacterial count is measured in CFU/g, food additive content is measured in mg/kg, batch numbers use a string format with an alphabetic prefix. Some e-commerce data includes consumer reviews and return records to supplement due diligence dimensions.
What constraints do these characteristics impose on the "citation sources and traceability" link?
The data characteristics of snack foods impose multiple constraints on the traceability process. Multi-source heterogeneous data requires precise matching of batch information. Otherwise, traceability results will mix test data from different production batches of products. Data sources with different update frequencies require differentiated knowledge base synchronization strategies. Daily updated e-commerce data needs scheduled sync tasks. Quarterly updated quality inspection reports only need to be imported before batch production. Differences in document structure require parsing rules to adapt to multiple formats such as PDF scans and Excel ledgers. This avoids losing key fields like batch numbers after parsing. Special fields and units must be accurately presented in traceability annotations. Otherwise, data references in due diligence reports will cause ambiguity. Multi-stage supply chain traceability requires associating batch information across multiple documents. Retrieved documents must be sorted by batch priority to ensure core traceability information is displayed first.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall count | Top 8 entries | The number of traceability documents required for snack food due diligence is moderate. Too many will cause report redundancy, while too few will fail to cover key test and supply chain information |
Similarity threshold | 0.75 | Filter irrelevant documents with matching scores below this value, to avoid retrieving non-target batch snack food test reports or supply chain data |
Chunk size | 1000-1200 characters | Adapt to the paragraph length of snack food quality inspection reports and supply chain ledgers, retain complete core fields such as batch numbers and test items |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Allocate sufficient time to parse large supply chain ledgers or multi-page quality inspection report PDFs, to avoid parsing timeout errors |
Rerank result count | Top 5 entries | Prioritize displaying traceability documents most relevant to the current due diligence batch, to ensure core reference information in the report is clearly focused |
Show Citation Source Toggle | Enable based on scenario | Adapt to display requirements for different due diligence scenarios, support turning citation source annotations on or off on demand |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Symptom: No citation source annotations appear in the generated due diligence report, or the annotations lack batch number information. Cause: The
引用来源显示格式parameter is not configured, or batch-related variables such asbatch_numare not bound in the format. - Symptom: Citation sources are forced to display during conversations and cannot be hidden on demand. Cause: The
Show Citation Source Toggleparameter is not set to off, or the citation display module is not disabled in the conversation flow configuration. - Symptom: A 504 timeout error is returned when parsing large quality inspection reports. Cause: The
PARSE_FILE_TIMEOUT_SECONDSsetting value is too short, and insufficient time is allocated for parsing and embedding multi-page documents.
How to Verify Proper Configuration
- Upload a snack food quality inspection report with a clear batch number, initiate a due diligence query for that batch, and check whether the returned results include source annotations with batch numbers.
- Adjust the
Similarity thresholdto 0.6 and 0.9, compare the number of retrieved documents twice, and confirm that the retrieval results change correspondingly after the threshold is adjusted. - Upload a supply chain ledger Excel file larger than 100MB, wait for parsing to complete and check the file status, confirm that no timeout error occurs.
- Call the knowledge base search module, check whether the returned variable list includes fields such as
source_fileandbatch_num, and confirm that the variable binding configuration takes effect.
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.