Document Parsing and Chunking for Agrochemical Product

What the data for this category looks like

Agrochemical product research report data comes primarily from publicly available reports from securities research institutes, industry associations, and regular disclosure documents of listed companies. Updates follow a set schedule: monthly industry dynamic monitoring content, quarterly in-depth analysis reports, and annual industry panoramic reports. Document structures include modules such as industry overview, supply and demand data, price monitoring, policy interpretation, and corporate dynamics. The supply and demand data module mostly uses structured tables, with fields including product name, production capacity scale, output value, raw material procurement costs, and more. Common units include tons, ten thousand yuan, cubic meters, and others.

Constraints Imposed on Document Parsing and Chunking

Agrochemical product research reports have a high proportion of structured tables and multi-unit fields. The parsing link must accurately identify unit information for each column to avoid data confusion. Reports are dense with professional terms such as active ingredient content, dosage form, and registration certificate number. The paragraph containing each term must be kept intact to prevent unintended splitting. Document lengths vary widely, from hundreds of words of industry news to dozens of pages of in-depth reports. The chunking logic must adapt to this range of document lengths. Some reports embed image content such as production capacity distribution maps and price trend charts. Parsing must support extraction and analysis of non-text content.

Configuration Settings

Configuration Item	Recommended Setting	Rationale
`PARSE_TABLE_ENABLE`	Enabled	Agrochemical product research reports contain a large number of structured supply and demand tables. Enabling this option allows complete extraction of fields and numerical content within tables
`CHUNK_MAX_SIZE`	800–1200 characters	Agrochemical research reports are dense with professional terms. This range balances contextual relevance and chunking rationality, avoiding splitting of professional data groups
`PARSE_FILE_TIMEOUT_SECONDS`	120 seconds	Long documents (such as in-depth reports over 50 pages) contain a large number of tables and image parsing, requiring sufficient time to prevent mid-process interruptions
`UPLOAD_FILE_MAX_SIZE`	200 MB	Some annual industry panoramic reports exist as large PDF or Excel files, requiring adaptation to large-file upload requirements
`PARSE_IMAGE_OCR_ENABLE`	Enabled	Some price tables and production capacity distribution maps in reports are embedded as images, requiring OCR to extract text data from them
`CHUNK_OVERLAP_RATE`	10–15%	Professional terms in agrochemical research reports have strong coherence. Retaining partial overlap ensures complete contextual retrieval

The parameter values provided on this page are conventional recommendations used as a starting point 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 Mistakes

Phenomenon: Uploading the same CSV file after upgrading the version results in a 400 Bad Request error. Cause: The default configuration of PARSE_TABLE_ENABLE was adjusted from enabled to disabled in the new version. CSV files for agrochemical research reports contain multi-column structured data. Failure to enable table parsing causes format verification failure.
Phenomenon: The raw material price field is empty in parsed chunk results. Cause: PARSE_IMAGE_OCR_ENABLE was not enabled. Some price tables in reports are embedded as images, so corresponding field content is not extracted.
Phenomenon: The number of chunk results far exceeds expectations. Cause: A reasonable value for CHUNK_MAX_SIZE was not set. Long professional term paragraphs are split into multiple meaningless small chunks, leading to retrieval redundancy.

How to Verify Correct Configuration

Upload a PDF of an agrochemical product research report containing structured tables. Check that all fields and numerical values from the table are fully extracted in the parsed text.
Review the length distribution of chunk results. Confirm that individual chunk lengths fall within the preset CHUNK_MAX_SIZE range.
Upload a report file with embedded images. Confirm that parsed results include text content from the images.
Test uploading a large file under 200 MB. Confirm that the upload and parsing processes do not experience timeout interruptions.

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.