Document Parsing and Chunking for Intelligent Due Diligence

What Data Looks Like for This Category

Livestock and poultry farming intelligent due diligence data sources include daily farm breeding logs, batch quarantine reports, feed purchase ledgers, slaughter statistics reports, and more. Update frequency varies by document type: breeding logs are updated daily, quarantine reports are updated per slaughter batch, and ledger documents are summarized monthly. Document formats include structured Excel ledgers, semi-structured PDF weekly reports, scanned quarantine certificates, and similar types. Fields include inventory quantity, feed consumption, slaughter date, epidemic prevention batch number, and more. Units are mostly livestock-specific units such as head/feather, kilogram, ton, and others.

What Constraints These Characteristics Impose on the Document Parsing and Chunking Link

Mixed multi-format data sources require the parsing process to support both structured table extraction and scanned document OCR recognition, to avoid missing key information in paper quarantine certificates. Frequently updated documents require chunk length to be kept relatively short, so single-batch breeding data can be quickly located during retrieval. Specialized fields and units require the parsing process to retain original field names and units, to prevent information loss from standardization processing. Ledger structures with multiple worksheets require the parsing process to load specified worksheets based on configuration, to avoid loading invalid data.

How to Set Configurations

Configuration Item	Recommended Setting	Rationale
`PARSE_OCR_ENABLE`	Enabled	Livestock and poultry farming documents contain a large number of scanned quarantine certificates and breeding log photos, requiring OCR to extract embedded text and images
`PARSE_EXCEL_SHEET_LIMIT`	`10 worksheets`	Breeding ledgers are usually divided into worksheets by month, and this value covers the number of worksheets in conventional monthly ledgers
`CHUNK_SIZE`	`800–1000 characters`	Livestock and poultry farming data mostly consists of short entries paired with batch-related information, this range avoids splitting data from the same breeding batch
`PARSE_FILE_TIMEOUT_SECONDS`	`120 seconds`	Large breeding ledger Excel files containing multiple batches of data take longer to parse, this value avoids mid-parsing timeout interruptions
`RETAIN_METADATA_FIELDS`	`["batch number", "inventory quantity", "feed consumption"]`	Due diligence reports require retaining metadata for core breeding fields, to facilitate association of complete business information after retrieval
`PARSE_IMAGE_INCLUDE`	Parse only charts and quarantine stamps within documents	Images in breeding documents are mostly inventory bar charts and quarantine certificate seals, irrelevant accompanying images do not need to be parsed

The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

Scenario: After uploading a scanned breeding quarantine PDF, the parsing result contains no image or quarantine stamp text. Cause: The PARSE_OCR_ENABLE configuration is not enabled, or the configuration value is set to disabled, so images and embedded text in the scanned document are not extracted.
Scenario: After attempting to switch to a third-party document parsing tool, parsing results show missing fields or formatting errors. Cause: The PARSE_ENGINE_TYPE configuration item is not adjusted, the target parsing engine is not specified, and the default configuration is still used.
Scenario: Retrieved breeding data chunks do not carry core metadata such as batch number and inventory quantity, making it impossible to associate corresponding breeding cycle information. Cause: The RETAIN_METADATA_FIELDS configuration is not set, and specialized breeding fields that need to be retained as metadata are not specified.

How to Confirm Configurations Are Properly Set

Upload a single scanned breeding quarantine PDF, check if the parsing result includes images and quarantine stamp text, to confirm that the PARSE_OCR_ENABLE and PARSE_IMAGE_INCLUDE configurations are effective.
Upload a breeding ledger Excel file containing 3 or more monthly worksheets, verify that the parsing result covers all specified worksheets, to confirm that the PARSE_EXCEL_SHEET_LIMIT and PARSE_ENGINE_TYPE configurations are appropriately set.
Retrieve chunks from the test document, check if each chunk carries preset metadata fields such as batch number and inventory quantity, to confirm that the RETAIN_METADATA_FIELDS configuration is correct.
Upload a single breeding daily report document exceeding 800 characters, check if the chunk length matches the preset range, to confirm that the CHUNK_SIZE configuration is effective.

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.