What this type of data looks like
Dairy industry research report data primarily comes from public securities firm industry reports, public financial reports of domestic dairy enterprises, monthly survey data from food and beverage industry associations, and third-party consumer behavior monitoring reports. Data update cadence adjusts based on industry trends. Securities firms update their reports concentratedly during listed company earnings seasons. Industry associations release data monthly or quarterly. Dairy enterprises release their financial reports quarterly and annually. Documents typically include core indicator sections, data comparison tables, and channel analysis chapters. Fields include raw milk purchase prices, liquid milk sales volumes, brand market share, and more. Price-related fields mostly use yuan per kilogram as the unit, while sales-related fields mostly use ten thousand tons as the unit. Some reports also include specialized data for segmented categories such as yogurt and cheese.
What constraints do these characteristics impose on the citation source and traceability process
First, scattered data sources require the traceability process to clearly mark the specific source type for each cited segment, to avoid confusion between similar indicators from different data sources. Second, document lengths vary widely, with some specialized reports reaching dozens of pages. The traceability process must accurately locate the page number and chapter of the cited segment, to help users quickly trace back to the original content. Third, fields have clear unit attributes. The traceability process must fully retain unit information, otherwise the meaning of the indicator will be distorted. Fourth, non-fixed update frequency requires the traceability process to associate content release time, to help users judge the timeliness of the data and avoid using outdated industry data.
How to Configure
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
RECALL_TOP_K | Top 8-12 results | Dairy industry research reports have high data density. Too many recalled results will introduce irrelevant content, while too few will fail to cover the associated information of core indicators |
PARSE_SEGMENT_LENGTH | 800-1200 characters | Core data paragraphs in dairy industry research reports often contain multiple sets of related indicators. Segments that are too long will break the logical connection between indicators, while segments that are too short will lose contextual information |
REFERENCE_SHOW_METADATA | Enable release time and data source type display | The timeliness of industry data and the authority of the data source directly affect the credibility of conclusions. Clearly displaying metadata helps users make judgments |
REFERENCE_SHOW_PAGE | Enable | Page number positioning for long-form research reports helps users quickly jump to the corresponding chapter of the original content |
SYNC_INTERVAL | Every 12 hours | Industry update frequency is non-fixed. Incremental sync balances data timeliness and system resource usage |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large research report documents takes a long time. This avoids interrupting the parsing process due to timeout |
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. Testing against local samples is recommended before finalizing settings.
Three Common Mistakes
- The symptom is an API returning a 200 status code but no content. The cause is that the
REFERENCE_CONTENT_ENABLEparameter is not enabled, or the system does not correctly link recalled segments to the content blocks of the original document. - The symptom is that cited knowledge base original text links fail to load normally. The cause is that server proxy rules are not configured correctly, or the knowledge base file storage path does not match the
REFERENCE_FILE_PATHconfiguration item. - The symptom is garbled characters in cited segments. The cause is that parsing does not use the correct text encoding format, or segment length is set too small, causing indicator units to be truncated and destroying field integrity.
How to Confirm the Configuration Is Complete
- Send a dairy industry research report retrieval request, check the
referencefield content in the returned results, and confirm that metadata information such as release time, data source type, and page number is included. - Click any cited link, verify that it can jump to the correct chapter position of the corresponding knowledge base original text, with no 404 or jump errors.
- Check the parsed research report segments, confirm that all indicator unit fields are fully displayed, with no garbled characters or missing information.
- Check the sync task logs in the system backend, confirm that the incremental sync task runs regularly according to the configured
SYNC_INTERVAL, with no timeout or failure records.
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.