What this category's data looks like
Data sources include national condiment industry association public statistical materials, publicly disclosed operating information from production enterprises, market circulation monitoring data, and food safety compliance test reports. Update frequency varies by information type: industry statistical data is updated quarterly, enterprise operating information is released with annual and semi-annual financial reports, and circulation monitoring data is updated monthly. Document structures mostly combine structured tables and text analysis, including fields such as category segmentation, raw material composition, production capacity scale, circulation channel proportion, and compliance test indicators. Units include tons, kilograms, ten thousand yuan, batch numbers, and similar units.
What constraints these characteristics impose on knowledge base retrieval and recall
Differences in update rhythms across multiple data sources require the knowledge base synchronization strategy to be executed in batches by information type, to avoid data timeliness deviations. The high proportion of structured fields and unified unit requirements mean precise matching of fields such as category and production capacity during retrieval. Unified measurement expressions in documents must be implemented during the preprocessing stage to avoid numerical matching errors caused by inconsistent units. Multiple category segmentation dimensions require adding category-specific filtering rules during the recall stage, to avoid recalling content from non-target segmented categories. Compliance test fields need separate recall filtering configurations, to ensure only compliance data relevant to the due diligence scenario is returned.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Condiment industry documents mostly include structured tables and long-text analysis; 300 seconds covers the complete parsing process for most documents |
Recall Count | Top 8 results | There are many segmented condiment categories; enough relevant documents must be recalled to cover due diligence requirements across different dimensions, while avoiding excessive redundant information |
Similarity Threshold | 0.75–0.82 | Condiment data has high requirements for field accuracy; this range filters out irrelevant documents with low similarity while retaining matching results for segmented categories |
Chunk Length | 800–1200 characters | Condiment documents mostly include structured fields and paragraph-style analysis; this chunk length retains contextual information associated with fields and avoids semantic breaks |
SYNC_CRON_EXPRESSION | Differentiated by information type: set to 0 0 2 * * 1 for industry statistical data, 0 0 4 1 * * for enterprise operating information | Update rhythms vary across different data sources; matching synchronization frequencies ensures knowledge base timeliness |
Reranked Return Count | Top 3 results | Due diligence reports need to focus on core information; only the top 3 most relevant results after reranking are used for report generation |
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 targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: Knowledge base retrieval results do not display the source field of the corresponding document. Cause: The configuration switch for the
RETURN_SOURCE_INFOparameter is not enabled, or source metadata is not extracted during the document parsing stage. - Issue: Non-target segmented category condiment documents are mixed into retrieval results. Cause: No category-specific filtering recall rules are configured, or the matching logic of filtering rules is not bound to the target segmented category field.
- Issue: Knowledge base parsing tasks frequently trigger timeout errors, with the status code showing
504 Gateway Timeout. Cause: The value of thePARSE_FILE_TIMEOUT_SECONDSparameter is too low, and does not match the parsing time requirements of condiment structured documents.
How to confirm the configuration is complete
- Upload a standard condiment industry document, run a parsing task, and check if the parsed metadata includes preset fields such as source and category.
- Enter the retrieval keyword for the target segmented category, and check if the number of recall results matches the preset configuration parameters.
- Check the execution logs of the knowledge base synchronization task, and confirm that the synchronization cycles of different source data meet the configuration requirements.
- Trigger a due diligence report generation process, and check if the returned results include document source information.
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.