What the Data for This Category Looks Like
Plastics and rubber industry marketing support data primarily comes from industry association public reports, real-time quotation systems of upstream raw material suppliers, and order ledgers of downstream processing plants. Data update rhythms vary: raw material quotes are updated daily, industry monthly reports are updated weekly, and order data is synced in real time.
There are two types of document structures:
- Short-text real-time quotation sheets, which include fields such as grade, density, tensile strength, and supply price. Common units are MPa, g/cm³, yuan/ton, and days.
- Long-text industry analysis reports, which include structured paragraphs such as segment category proportions and production capacity data.
Constraints Imposed by These Characteristics on Model Integration and Configuration
Decentralized data sources require configuring multi-source data access channels, and distinguishing permission rules between public data sources and private supplier APIs. High update frequency requires configuring a reasonable caching strategy during model calls to avoid frequent requests to upstream services. Professional fields and fixed units require clearly marking field units and professional definitions in model prompts to prevent unit errors in generated results. Mixed input of long-text reports and short-text quotations requires adapting context windows and segmentation rules of varying lengths to avoid content truncation or redundancy.
How to Set the Configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000-12000 characters | Adapts to the context requirements of long-text industry reports and multi-field quotations, avoiding truncation of professional content |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Meets the parsing time requirements for large-format industry reports, avoiding parsing failures for long documents |
| Recalled Entries | Top 8-12 entries | There are many professional fields in the plastics and rubber industry. Too many recalled entries will exceed the context window, while too few will fail to cover complete parameters |
| Similarity Threshold | 0.75-0.85 | High matching accuracy is required for professional terms, avoiding recall of irrelevant content with low matching degrees |
| Segment Length | 1000-1500 characters | Ensures that a single segment contains complete professional parameter units, facilitating the model to accurately extract field information |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapts to the common file size of industry reports, avoiding upload failures for large files |
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 Misconfigurations
- Phenomenon: A
model_stream_response_emptyerror is returned when calling the model. Cause: The streaming output switch of the model was not enabled correctly, or the upstream model service did not return valid streaming data fragments. - Phenomenon: An inconsistent model is used during knowledge base reference compared to the application configuration. The log shows the actual called model does not match the preset one. Cause: The exclusive model parameter was not locked in the knowledge base association configuration, causing the global configuration to override local settings.
- Phenomenon: Field mapping errors occur when parsing plastics and rubber raw material quotation sheets. Cause: Professional units and definitions of fields were not clearly specified in the prompt, causing the model to confuse the meanings of similar terms.
How to Verify Successful Configuration
- Initiate a single raw material parameter query, check that the returned result includes the specified professional fields and corresponding units, and verify that the field mapping in the prompt takes effect.
- Upload a standard industry report, check that the parsed segment length matches the configured Segment Length, with no obvious truncation or overly long segments.
- View the system call logs, confirm that the model called for each request matches the configured
model_apiparameter, with no cross-model calls. - Simulate batch real-time quotation queries, check that there are no
model_stream_response_emptyerrors, confirming that the streaming configuration takes effect normally.
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.