What the data for this category looks like
Dairy industry investment research data draws from multiple sources. These include monthly consumer monitoring from industry associations, public financial reports of dairy enterprises, daily purchase quotes from raw material origins, batch reports from third-party testing institutions, and SKU sales data from e-commerce platforms. Update cycles differ widely. Raw material purchase quotes update daily. Dairy enterprise financial reports release quarterly. Industry monitoring data updates monthly. Test reports generate alongside inspection batches. Document formats vary. They include structured reports (such as daily purchase price tables with columns for origin, variety, and same-day quote), semi-structured industry analysis documents, and unstructured enterprise announcements. Fields cover raw material batch numbers, protein content, total bacterial count, and more. Units are batch number, g/100g, and CFU/g respectively.
Constraints for Citation Source and Traceability
The multi-source nature of dairy data requires unique data source identifiers and collection times for each data segment during traceability. This stops confusion between similar indicators from different sources. Data sources with different update cycles must align with the knowledge base refresh cycle. Daily updated raw material data needs a shorter refresh interval. Otherwise, traceability information will lag behind latest market trends. Structured reports and unstructured documents coexist in dairy data. The traceability system must distinguish document types for each segment. It must retain chapter and table hierarchy from the original document. This lets investment research personnel locate original data exactly. Dairy data involves compliance testing and batch management. Traceability must link to specific raw material batches or SKUs. Traceability information must therefore include batch identification fields.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Retain original document hierarchy for recalled segments | Enabled | Dairy documents often contain structured tables and chapter divisions. Retaining hierarchy allows clear identification of the document chapter or table area a segment belongs to during traceability |
| Display fields for traceability information | Data source name, collection time, document batch number | Dairy data requires differentiation of source and update time. Batch numbers are used to link core traceability information for raw materials or SKUs |
| Maximum number of recalled segments | Top 8 | Dairy investment research documents often contain dense indicator data. Too many recalled segments will cause redundant traceability information. 8 segments covers the data sources needed for core analysis |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Large dairy enterprise financial reports or annual industry association reports have long length. Parsing timeout will prevent some content from being traced. 900 seconds covers parsing duration for most long documents |
| Citation source display toggle | Enabled by default globally, supports per-node disabling | Most users in investment research scenarios require traceability. Some internal briefing documents do not need public sources, allowing flexible configuration |
| Similarity threshold | 0.75–0.85 | Dairy indicator data has high similarity. A threshold that is too low will introduce irrelevant data sources. A threshold that is too high will fail to recall enough valid information |
The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: After configuring WeChat Work integration, only quoted segments of the question are returned, with no natural language answer. Cause: The
问答生成module is not enabled, and only the traceability display function is turned on. This causes the system to only return recalled document segments without generating response content. - Phenomenon: Traceability information for some structured raw material purchase tables does not display the origin field. Cause: Special fields for structured documents are not configured in
溯源信息显示字段. This prevents core dimensions of dairy data from being included in traceability. - Phenomenon: When connecting a third-party model in version 4.8.20, testing prompts an internal error (status code 500). Forcing continuation allows citations to run, but query results lack some traceability information. Cause: The model call timeout does not match the
PARSE_FILE_TIMEOUT_SECONDSsetting. This causes some traceability tags to fail to complete writing.
How to Confirm Configuration is Correct
- Upload a dairy enterprise financial report document. Check if parsed segments retain the original document's chapter titles and table areas. Confirm the retain original document hierarchy for recalled segments configuration is enabled.
- Initiate an investment research query related to dairy indicators. Check if the traceability bar of returned results includes data source name, collection time, and document batch number. Confirm the display fields for traceability information configuration is correct.
- Adjust the similarity threshold and test recall effects. Confirm the configuration is reasonable once match levels meet investment research needs.
- Upload a large industry association report. Wait for parsing to complete, then check for any untraced segments. Confirm the
PARSE_FILE_TIMEOUT_SECONDSsetting is sufficient to cover document parsing duration.
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.