Knowledge Base Retrieval and Recall for Dairy Industry

What Data for This Category Looks Like

Dairy industry investment research data sources include industry association monthly monitoring reports, public financial reports of dairy enterprises, raw material supplier quotation documents, third-party testing institution quality inspection reports, and supply chain logistics records. Update frequencies vary significantly: raw milk prices are updated daily, dairy enterprise financial reports are released quarterly, and industry white papers are updated quarterly or annually.

Document types include scanned PDF research reports, structured quotation tables, plain text public opinion data, and analysis documents with charts. Fields include milk fat percentage, protein content, raw material acquisition price, shelf life, with corresponding units: g/100g, yuan/kg, days, and others.

What Constraints Do These Characteristics Impose on Knowledge Base Retrieval and Recall

A high proportion of scanned PDFs requires the retrieval system to support accurate OCR recognition to extract valid text. Coexistence of structured tables and unstructured research reports requires retrieval to support both precise field matching and semantic relevance recall. Coexistence of data with multiple update frequencies requires recall results to be filterable by update time to ensure data timeliness. Diverse field units require automatic unit matching during retrieval to avoid result deviations caused by unit mismatches. A high proportion of long documents requires reasonable paragraph splitting during segmented retrieval to avoid breaking semantic connections.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`PARSE_FILE_TIMEOUT_SECONDS`	900 seconds	Dairy industry research report PDFs often contain multi-page scanned content. OCR parsing takes a long time, so extend the timeout to avoid parsing interruptions
`UPLOAD_FILE_MAX_SIZE`	2000 MB	Single dairy industry white paper PDF can reach gigabyte scale. Relax the upload limit to support large file uploads
`Chunk size`	800–1200 characters	Dairy research reports often include long paragraphs of raw material analysis. Too short a segment breaks semantic connections, while too long harms recall accuracy
`Similarity threshold`	0.72–0.85	Dairy investment research keywords such as milk fat percentage and lactoferrin have high semantic similarity discrimination. Do not set the threshold too low to avoid irrelevant results, or too high to miss relevant content
`Recall count`	Top 8 entries	Investment research scenarios require covering multi-dimensional data. Too few recalled entries cannot support analysis needs, while too many increase the burden of context processing
`OCR_ENABLE`	Enabled	Scanned raw material testing reports and industry white papers account for a high proportion. Enable OCR recognition to extract text content from images

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Errors

Phenomenon: After uploading a scanned PDF, the retrieval results contain no valid text content. Cause: OCR recognition configuration is not enabled. Only the image layer of the PDF is recognized, and no text information is extracted.
Phenomenon: After adding a knowledge base via the interface, the business system calls the retrieval interface and returns empty results. Cause: The retrieval permission mapping between the knowledge base and the business system is not configured, or the interface request does not carry the correct unique identifier parameter of the knowledge base.
Phenomenon: A 413 Request Entity Too Large error is returned when adding a knowledge base. Cause: The uploaded file size exceeds the limit set by the UPLOAD_FILE_MAX_SIZE configuration, which does not meet system restrictions.

How to Verify Successful Configuration

Upload a scanned dairy product testing report PDF, check whether the parsed text content is complete, and confirm that the OCR configuration is effective.
Call the retrieval interface, pass in dairy investment research keywords, and verify whether the number of returned results matches the configured number of recalled entries.
Check the permission configuration of the knowledge base, and confirm that the calling account of the business system has retrieval permission for this knowledge base.
Upload a large-volume dairy industry white paper PDF, confirm that the upload does not trigger a 413 error, and verify that the UPLOAD_FILE_MAX_SIZE configuration meets expectations.

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.