What the data for this category looks like
Plastics and rubber research reports mainly come from commodity information platforms, industry association public reports, and securities firm industry analysis documents. Update cycles cover daily spot prices, weekly inventory data, monthly supply and demand analysis, and quarterly industry trend reports. Most documents are in PDF format, with standardized chapter structures. These structures include supply and demand landscape, price trends, production capacity scale, import and export data, and other modules, with a large number of embedded structured tables and trend charts. Data fields include spot prices measured in yuan per ton, production capacity and inventory data measured in ten thousand tons, and import and export trade volume measured in ten thousand tons.
What constraints do these characteristics impose on document parsing and chunking?
The multi-source and heterogeneous nature of plastics and rubber research reports creates multiple constraints for document parsing and chunking. Documents from different sources have large format differences, including editable PDFs, scanned PDFs, and formats with a large number of embedded table images. Differentiated parsing logic is required. If embedded structured tables are split across pages, data association will break, affecting the information integrity of subsequent retrieval. Long documents have large chapter spans. Supply and demand analysis and corresponding price and inventory data are often scattered across different pages. Chunking must retain context association to avoid splitting core logic. At the same time, commodity data units are tightly bound to fields. Chunking must retain the association between fields, corresponding values, and units to prevent loss of data semantics.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_OCR_ENABLE | Enabled | Adapt to scanned report formats, extract price and table text content from embedded images |
chunk_size | 800–1200 characters | Plastics and rubber research reports mostly contain long paragraphs of supply and demand analysis and compact table data. This range balances context integrity and retrieval accuracy |
chunk_overlap | 100–150 characters | Retain context connections between chapters, avoid splitting cross-page supply and demand analysis and price data |
PARSE_TABLE_MODE | Retain original structure | Prevent tables from being split into scattered text blocks, fully retain the corresponding relationship between fields and values |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Adapt to the parsing needs of batch-uploaded long documents, avoid parsing timeout for large-volume research reports |
UPLOAD_FILE_MAX_SIZE | 50 MB | Cover the volume range of most single research reports, limit abnormal large files from occupying parsing resources |
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. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: When a scanned plastics and rubber research report is uploaded, no price data embedded in images appears in the retrieval results. Cause: The
PARSE_OCR_ENABLEconfiguration is not enabled, so text content in images cannot be extracted. - Phenomenon: When chunking is performed, core logic of the same chapter is split into multiple unrelated fragments. Cause:
chunk_sizeis not set in character units, or the parameter value deviates from the range suitable for this category, leading to context breakage. - Phenomenon: When an Excel research report attachment with multi-column structured data is uploaded, retrieval results cannot match fields and values. Cause:
PARSE_TABLE_MODEis not configured to retain the original structure, so tables are split into scattered text blocks and data association relationships are lost.
How to confirm the configuration is correct
- A scanned plastics and rubber research report can be uploaded, and the parsed text can be checked for embedded price and table content to confirm that the OCR parsing configuration takes effect.
- A long document with cross-page tables can be uploaded, and the chunked results can be checked to confirm that the complete table structure is retained, verifying that the table parsing configuration meets expectations.
- Chunking parameters can be adjusted, and core chapters of the same research report can be retrieved to confirm that connected context content exists between adjacent chunks.
- A single research report with a volume close to the configured maximum limit can be uploaded, and the parsing task can be checked to confirm that no timeout error is triggered, verifying the rationality of the timeout and upload size configuration.
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.