Document Parsing and Chunking for Chemical Raw Material

What Data for This Category Looks Like

Financial report data for the chemical raw material category originates primarily from annual and quarterly reports publicly disclosed by domestic and overseas listed companies, plus monthly operating data released by industry associations. Update frequency: annual reports are released once per year, quarterly reports once per quarter, and industry data is updated monthly. Most documents are in PDF format, including structured financial tables and unstructured operational analysis paragraphs. Fields cover production capacity, output, raw material procurement values, product revenue, and similar metrics, with units typically including tons, kilograms, ten thousand yuan, and others. Some documents also include cross-page product detail tables and annotation entries.

Constraints for Document Parsing and Chunking

Documents for the chemical raw material category combine structured tables and unstructured paragraphs. The parsing workflow must accurately identify table boundaries to prevent incorrect splitting of cross-page tables. The category has many detailed product entries, so chunking must retain the link between products and their associated financial data without breaking contextual connections. Monthly updated industry data creates a high volume of document batches, so the parsing workflow must support different industry report template formats. Some financial report annotations include nested detail entries, so chunking must preserve hierarchical relationships to ensure complete information for subsequent retrieval.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`PARSE_TABLE_ENABLE`	Enabled	Chemical raw material financial reports contain a large number of structured tables for product production capacity and revenue. Enabling this option preserves the structural integrity of tables
`CHUNK_SIZE`	800–1200 characters	Product detail paragraphs in chemical raw material financial reports are mostly medium-length. This range retains complete operational and financial association information for a single product
`CHUNK_OVERLAP`	100–150 characters	Prevents product-related information across chunks from being split, ensuring contextual coherence
`PARSE_FILE_TIMEOUT_SECONDS`	600 seconds	Single annual financial report PDF files have a large number of pages and contain numerous tables for parsing, requiring sufficient processing time
`UPLOAD_FILE_MAX_SIZE`	1000 MB	Some industry reports contain multiple periods of historical data, resulting in large file sizes, so upload limits must be accommodated
`PARSE_NESTED_TABLE`	Enabled	Chemical raw material financial report annotations contain nested product detail tables. Enabling this option fully extracts nested hierarchical information

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

Three Common Configuration Errors

Phenomenon: Vectorization processing time increases noticeably after uploading multiple monthly industry reports. Cause: The CHUNK_SIZE and CHUNK_OVERLAP parameters are not adjusted. Overly fine chunking leads to a sharp rise in the number of chunks, which slows down subsequent vectorization workflows.
Phenomenon: The system initiates a document parsing process after a non-document-related query is submitted. Cause: The QUESTION_TRIGGER_PARSE parameter is not configured correctly, causing all queries to trigger document parsing logic.
Phenomenon: After uploading a financial report PDF, the knowledge base search returns no results once data processing is complete. Cause: The PARSE_TABLE_ENABLE parameter is not enabled, so structured table content is not extracted, resulting in missing valid chunks.

How to Confirm Correct Configuration

Upload a single chemical raw material financial report PDF with over 100 pages. Check the number of table extraction entries in the parsing log to verify that the PARSE_TABLE_ENABLE and PARSE_NESTED_TABLE parameters are working as intended.
Randomly select a parsed document. Review the chunked content to confirm it includes complete product names and their corresponding financial data, verifying that CHUNK_SIZE and CHUNK_OVERLAP are properly set.
Submit a non-document-related query. Confirm the system does not trigger a document parsing process to verify the QUESTION_TRIGGER_PARSE parameter configuration is correct.
Upload a test file near the maximum allowed size. Confirm the upload and parsing processes do not trigger timeout errors, verifying that PARSE_FILE_TIMEOUT_SECONDS and UPLOAD_FILE_MAX_SIZE are properly adapted.

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.