What the data for this category looks like
Data for the plastics and rubber category mainly comes from production enterprise factory quality inspection reports, industry association supply and demand ledgers, upstream raw material quotation systems, and downstream custom demand documents. Data update rhythms fall into three categories: raw material quotations are synchronized daily, batch quality inspection reports are released with production batches, industry supply and demand data is updated weekly, and custom demands are entered in real time. The degree of standardization of document structure is relatively high. Core fields include product grade, batch number, density, tensile strength, melt flow rate, and delivery lead time. The corresponding units are g/cm³, MPa, g/10min, and calendar days.
Constraints imposed on retrieval and recall by this category's data characteristics
The data characteristics of the plastics and rubber category impose three constraints on the retrieval and recall link. First, there are large differences in data formats and update frequencies across sources. It is necessary to support filtering recall results by update time to avoid using expired raw material quotations or old batch quality inspection data. Second, core fields include professional engineering parameters and specific units. Retrieval matching must associate field names with units to avoid invalid recall results caused by confusion of parameter units. Third, custom demands are entered in real time. The response latency of the retrieval link must meet the real-time requirements of marketing content generation, and support precise matching of downstream demands by combining product grade and batch number for retrieval.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Number of recalled entries | Top 8-12 entries | Plastics and rubber products have many parameters, and single documents are long in length. Too many recalled results will exceed the context window limit, while too few will fail to cover all relevant parameters |
Similarity threshold | 0.75-0.85 | The semantic matching accuracy of professional parameters is relatively high. A threshold that is too low will introduce irrelevant non-plastics and rubber category data, while a threshold that is too high may miss batch difference information of the same grade |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single batch quality inspection report documents are long in length, and the parsing process needs to process multiple sets of engineering parameters. The timeout period must adapt to the long document parsing requirements |
maxContext | 8000-12000 characters | Marketing content needs to integrate product parameters, delivery lead time and quotation information. A longer context can support the generation of complete marketing copy |
Chunk length | 600-800 characters | The core parameter groups of plastics and rubber documents usually fall within this length. Chunking can retain the association between parameters and avoid splitting key information during vector retrieval |
Number of reranked returned entries | Top 4-6 entries | The most relevant parameters and quotation information must be retained within a limited context to avoid redundant content interfering with large model generation |
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 specific analysis. It is recommended to test on your own samples before finalizing the settings.
Three Common Mistakes
- Phenomenon: Retrieval results do not strictly match knowledge base content, and incorrect information outside the knowledge base appears. Cause: The strict matching configuration item is not enabled, or the similarity threshold is set too high, resulting in insufficient valid recall results.
- Phenomenon: Irrelevant data is fully recalled, and target fields cannot be accurately extracted. Cause: No field-level filtering rules are configured, the full table data is directly used as an index, and the product parameter fields exclusive to plastics and rubber are not screened.
- Phenomenon: A
504 Gateway Timeoutstatus code is returned when parsing long documents. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration value is set too short, failing to adapt to the long document parsing requirements of plastics and rubber batch quality inspection reports.
How to Confirm Proper Configuration
- Upload a single plastics and rubber quality inspection report, view the parsed field list, and confirm that core parameters such as density and tensile strength have been correctly extracted, and field matching meets expectations.
- Initiate a retrieval request, enter a query term containing the product grade and parameter unit, check whether the update time of the recalled results meets the latest data requirements, and confirm that the filtering rules take effect.
- After configuring the similarity threshold, enter a fuzzy query term, verify that the number and relevance of the recalled results meet expectations, and adjust the threshold to match business requirements.
- Initiate a continuous session request, check whether the context is correctly passed, confirm that the session association configuration is enabled, and the retrieval results can continue the context information of previous queries.
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.