What Data for This Category Looks Like
Data sources for the plastics and rubber category primarily include industry association monthly supply and demand reports, batch quality inspection reports from production enterprises, real-time price quotes from traders, product marketing manuals, and patent technical documents. Update cadence varies significantly by document type: price quotes update in real time with market trends, industry reports are released monthly, and quality inspection reports are generated per production batch. Document structures include structured parameter tables, long-form technical descriptions, marketing materials with performance curves. Fields cover grade, Mooney viscosity, Shore hardness, melt index, and similar metrics. Most units use professional chemical industry units such as MPa, g/10min, Shore A, and others.
Constraints Imposed on Document Parsing and Chunking
Cross-page structured parameter tables require parsing modules to identify and preserve cell correspondence, to avoid parameter misalignment. Real-time updated price quotes have variable formats, including temporarily adjusted fields, so the system must support custom field mapping. Long-form technical descriptions contain extensive professional terminology. Chunking processes must retain full context for these terms, to avoid breaking parameter meaning through improper splitting. Marketing materials with performance curves require extraction of text descriptions linked to charts, rather than only extracting plain text which loses critical data. Batch quality inspection reports require storing chunked content grouped by batch, to enable precise subsequent recall of relevant data.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxChunkSize | 800–1200 characters | Professional documents for plastics and rubber contain long technical sentences; this range preserves terminology context and avoids split-induced meaning breaks |
chunkOverlap | 100–150 characters | Professional terminology spanning chunks needs to retain continuity to avoid losing associated parameters during recall |
PARSE_TABLE_ENABLE | Enabled | Most category documents have structured parameter tables; enabling this allows complete extraction of cell data and their corresponding relationships |
PARSE_CHART_TEXT_ENABLE | Enabled | Marketing materials often include performance curves; enabling this extracts text descriptions associated with charts |
UPLOAD_FILE_MAX_SIZE | 500 MB | Batch quality inspection reports and industry report files have large sizes; this setting supports batch upload requirements |
PARSE_TIMEOUT_SECONDS | 600 seconds | Long-form technical documents require longer processing time to avoid timeout interruptions |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, 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
- Symptom: After uploading a PDF document, the interface shows no parsing completion prompt and search test results are empty. Cause: The
PARSE_TABLE_ENABLEconfiguration is not enabled, and structured table parameters are not extracted, resulting in empty chunked content. - Symptom: Search test results omit some performance parameters. Cause: The
maxChunkSizesetting is too small, splitting long text containing complete parameters into multiple chunks, and some chunks are not triggered for recall. - Symptom: Automatically generated conversation text is included in the knowledge base chunks. Cause: The automatic parsing switch for non-uploaded documents is not disabled, and non-target content is incorrectly included in the parsing process.
How to Verify Proper Configuration
- Upload a single structured parameter table document, view the parsed chunked content, and confirm that all table cell data is fully extracted.
- Upload marketing materials containing performance curves, and verify that the chunked content includes text descriptions associated with the charts.
- Upload batch documents, check that the data processing steps generate the corresponding number of chunks with no null entries.
- Trigger a search test, enter a professional term such as "Mooney viscosity", and confirm that the recall results include the complete context of the corresponding parameters.
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.