What the data for this category looks like
Refractory material research report data primarily comes from public reports from industry associations, technical documents from upstream raw material suppliers, public operation and maintenance records from downstream steel and building material enterprises, and professional academic journals. Update cycles mainly include monthly dynamic briefings, quarterly supply and demand analyses, and annual industry white papers.
Document structures typically include raw material chemical composition (such as Al₂O₃, MgO content), physical performance parameters (firing temperature, compressive strength, with units of ℃ and MPa respectively), application scenario classification, price ranges, and service wear data. Some reports also include raw material procurement channels and supply chain information.
What constraints do these characteristics impose on tool calling and plugins
The specialized parameter attributes and update cycles of refractory material research reports impose multiple constraints on the tool calling and plugins workflow. First, reports contain a large number of parameters with clear physical and chemical units. Plugins must support identification and associated storage of parameter units to avoid losing unit information after parsing. Second, update cycles vary widely between monthly dynamic briefings and annual white papers. Differentiated scheduled pull tasks must be configured to adapt to different data update rhythms. Third, some documents contain embedded structured tables and chemical formulas. The file parsing module for tool calling must support docx format table extraction and formula transcription to ensure complete transfer of parameters. Finally, scenario classifications in reports are strongly bound to performance parameters. Plugin recall rules must support filtering relevant data by application scenario.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Refractory material research report docx files often contain multi-page structured tables and chemical formulas. Full parsing requires significant time. 600 seconds covers parsing needs for most scenarios. |
UPLOAD_FILE_MAX_SIZE | 20 MB | Single refractory material research report docx files typically do not exceed 20 MB. This value balances storage usage and data integrity. |
maxContext | 8000–12000 characters | Performance parameters and application scenarios of refractory material research reports are closely linked. Sufficient context must be retained to convey complete information and avoid truncation of critical data. |
Recall count | Top 8 entries | Refractory material research reports have many specialized application scenarios. 8 recall results cover most user query needs while avoiding redundant information interference. |
Similarity threshold | 0.75 | Matching of specialized parameters requires high precision. This threshold filters low-relevance general building material reports and retains only content strongly related to refractory materials. |
PLUGIN_API_TIMEOUT | 300 seconds | Some industry association data sources have slow response speeds. 300 seconds ensures complete acquisition of research report data and avoids call failures due to early timeout. |
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. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: A 404 Not Found error is returned when calling the plugin interface, or the returned research report content is empty. Cause: The access whitelist for the research report data source is not properly configured, or the file path in the URL contains unescaped special characters, preventing normal pulling of docx files.
- Phenomenon: No matching results are returned after plugin calls, or returned results are unrelated to the query keywords. Cause: The input parameters do not carry classification fields unique to refractory materials (such as application scenario, raw material type), or the input parameter format does not conform to the JSON structure defined by the plugin, preventing the plugin from correctly parsing query conditions.
- Phenomenon: Empty content is returned when calling a plugin bound to the ollama model, with no clear error message. Cause: The model's context length parameter is not adjusted to adapt to the long text input of refractory material research reports, exceeding the maximum context limit supported by the model, resulting in the model not generating a valid response.
How to confirm successful configuration
- Upload a single docx file of a refractory material research report, check if the parsed text contains complete chemical composition, physical performance parameters, and application scenario information to confirm that the parsing module is working properly.
- Call the plugin interface with test query parameters such as "Al₂O₃ content of refractory materials for ladles", check if the returned results contain research report content strongly related to refractory materials to confirm that the recall rules and similarity threshold configuration are effective.
- View the plugin's running logs to confirm that scheduled pull tasks are triggered according to the preset cycle, and the update time of the pulled research report data matches the update rhythm of the data source.
- Test the bound model interface call, input a long segment of refractory material research report text, confirm that the model can normally generate a response without empty content or timeout errors.
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.