What data for this category looks like
Feed category data sources include public industry association reports, raw material supplier quotation systems, customs import and export databases, and third-party testing institution reports. Data update schedules differ: raw material procurement quotations are updated daily, industry supply and demand reports are released quarterly, raw material batch test reports are generated when raw materials are stored, and customs clearance data is synchronized in real time. Most single documents use structured table formats, containing fields such as raw material name, crude protein content, moisture percentage, procurement unit price (yuan/ton), batch number, and supplier information. Some auxiliary analysis documents are unstructured text reports.
What constraints do these characteristics impose on citation source and traceability workflows
Feed category data includes both structured table and unstructured report formats, with multi-dimensional update rhythms. Structured raw material ledgers and recipe tables are mostly batch-generated files. Precise positioning to specific rows, columns or batch information is required to complete traceability. Daily updated raw material quotation data must retain collection timestamps to avoid citing expired information. Professional fields such as crude protein content and procurement unit price need full association with field names and units, so traceability information can be directly verified by research personnel. Chunks parsed from multi-format documents must match positioning rules corresponding to their formats. For example, CSV uses line number marking, PDF uses page number + paragraph positioning. Otherwise, traceability information cannot correspond to the exact location of original data.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | top 10 | Feed industry research data mostly consists of structured tables, and a single document has a large number of valid chunks. A sufficient number of candidate segments must be recalled to cover accurate answer sources |
similarity threshold | 0.75–0.85 | There are many professional terms in feed, and similar expressions exist. A threshold that is too low will introduce irrelevant segments, while a threshold that is too high may miss accurately matched raw material data |
metadata retention fields | ["raw material name", "batch number", "collection time", "supplier"] | Feed industry research traceability needs to associate core business fields such as batch and collection time, ensuring that traceability information can verify data validity |
chunk positioning method | adapt to file type | The chunk positioning logic varies for documents of different formats. CSV uses line number positioning, PDF uses page number + paragraph positioning, which can improve traceability accuracy |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large feed recipe tables or batch-imported raw material data files take longer to parse, so the timeout period needs to be extended to avoid parsing failures |
traceability information display format | display file name + positioning information + core fields | Research personnel need to quickly obtain core information of data sources. This format can directly associate key attributes of original data |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material forms, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: The knowledge base returns feed raw material data unrelated to the query, and the traceability information does not link to the correct document. Cause: A reasonable
similarity thresholdis not set, and a threshold that is too low results in the recall of a large number of irrelevant structured segments. - Phenomenon: The traceability information only displays the file name, and does not show core fields such as batch number and collection time. Cause: Business-related metadata is not configured in
metadata retention fields, leading to failure to extract key information during parsing. - Phenomenon: After parsing a large feed recipe Excel file, the traceability positioning only displays the page number and cannot locate the specific line number. Cause: The
chunk positioning methodis not configured to adapt to the Excel format, and the default parsing logic does not retain table line number information.
How to confirm the configuration is correct
- Upload a standard feed raw material quotation CSV file, initiate a query containing the raw material name, and check whether the traceability information of the returned results includes the file name, line number, and collection time fields.
- Adjust the
similarity thresholdto 0.7, initiate a query unrelated to the content of the knowledge base, confirm that no irrelevant results are returned, and verify that the threshold configuration takes effect. - Upload a large feed recipe PDF document, initiate a query about recipe proportions, and check whether the traceability information marks the corresponding page number and paragraph position.
- View the knowledge base parsing logs, confirm that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration does not trigger timeout errors, and verify that the parsing configuration is normal.
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.