Document Parsing and Chunking for Livestock and Poultry

What the data for this category looks like

Livestock and poultry farming investment research data mainly comes from monitoring weekly reports released by industry associations, daily inventory ledgers of large-scale farms, monthly quotation sheets from feed suppliers, livestock and poultry disease prevention and control notices, and slaughter statistics reports. Data update cycles include real-time sudden disease notices, daily inventory changes, weekly slaughter and feed consumption statistics, and monthly cost accounting reports. Document formats cover structured Excel ledgers, PDF industry analysis reports, livestock shed monitoring screenshots in image format, and Word-format breeding technology notifications. Core fields include inventory volume (unit: head/animal), feed conversion ratio, feed usage (unit: ton), number of disease cases, and date fields accurate to the day.

What constraints do these characteristics impose on the document parsing and chunking link?

The coexistence of multiple formats and structured content in livestock and poultry farming data requires the parsing link to accurately identify exclusive fields for different document types, and avoid mixing irrelevant worksheet content from Excel into the knowledge base. Batch documents with high update frequency require the parsing process to have sufficient throughput to prevent timeouts during upload peaks. Long-text breeding trend analysis reports require the chunking link to retain contextual relevance, and avoid splitting key data such as continuous inventory changes and feed conversion ratio trends. Image-format monitoring data requires OCR capabilities to adapt to professional breeding terminology, ensuring recognition accuracy.

How to set configurations

Configuration Item	Recommended Setting	Rationale
`PARSE_EXCEL_SHEET_SELECTOR`	Match inventory, slaughter, and feed consumption fields by header	Livestock and poultry farming Excel ledgers have fixed business headers. Matching by fields avoids selecting irrelevant worksheets by mistake, ensuring accurate data extraction
`MAX_PARSE_DOC_SIZE`	500 MB	Single-file size of livestock and poultry farming monthly batch reports is moderate. Exceeding this threshold will cause excessive parsing resource usage
`CHUNK_SIZE`	800–1200 characters	Breeding data includes continuous trend analysis content. This range retains data relevance and avoids splitting key logic
`PARSE_OCR_ENABLE`	Enabled	Some breeding monitoring data is submitted in image format. OCR can accurately identify professional fields such as inventory volume and disease statistics
`PARSE_TIMEOUT_SECONDS`	300 seconds	Monthly breeding report data uploaded in batches has a large volume. Sufficient parsing time must be reserved to avoid timeout errors
`CHUNK_OVERLAP`	100–150 characters	Trend analysis of breeding data often spans paragraphs. Overlapping characters ensure contextual coherence and improve retrieval accuracy

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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.

Three common configuration errors

After uploading a breeding ledger Excel file, some inventory volume and feed usage fields are empty. The cause is that PARSE_EXCEL_SHEET_SELECTOR is not configured, and the system automatically selects an irrelevant worksheet, resulting in loss of key fields.
After uploading a quarterly breeding analysis PDF, vectorization takes far longer than the preset threshold. The cause is that CHUNK_SIZE is not adjusted to a reasonable range, and excessively long single-block text causes excessive vectorization calculation pressure.
When entering a pure-text breeding-related query, the system triggers the document parsing process. The cause is that the PARSE_TEXT_INPUT_ENABLE parameter is not turned off, and the system mistakenly treats pure-text input as a document to be parsed.

How to verify correct configuration

Upload a standard breeding Excel ledger, check whether the extracted fields after parsing include key items such as inventory volume, feed usage, and slaughter volume. Adjust PARSE_EXCEL_SHEET_SELECTOR until the matching results meet expectations.
Upload a single-page breeding analysis PDF, record the parsing time, and adjust PARSE_TIMEOUT_SECONDS to ensure the time is within the business allowable range.
Enter a pure-text breeding-related query, check whether the system skips the document parsing process. Adjust the PARSE_TEXT_INPUT_ENABLE parameter to meet business requirements.
Upload a breeding industry report with more than 10 pages, check whether the chunking results retain continuous breeding data trends. Adjust CHUNK_SIZE and CHUNK_OVERLAP to a reasonable range.

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.