What the data for this category looks like
Data for refractory material investment research primarily originates from industry standard test reports, raw material supplier component quality inspection sheets, kiln operating condition logs, supply and demand data released by industry associations, relevant patent literature, and downstream customer usage feedback documents. Data update cycles vary significantly. Raw material quality inspection sheets are updated with each purchase batch. Industry supply and demand data is released monthly. Patent and technical literature is updated in real time. Document types include two categories: fixed detection fields and free text. Fixed fields include Al₂O₃ content, refractoriness, and bulk density, with corresponding units of percentage, degrees Celsius, and grams per cubic centimeter respectively. Long documents such as kiln operating logs are continuous condition record texts.
What constraints do these characteristics impose on model integration and configuration
The multi-source nature, differentiated update cycles, and specialized field characteristics of refractory materials data impose multiple constraints on model integration and configuration. Standardized units for fixed detection fields require enabling value and unit binding extraction in configurations to avoid unit conversion errors. Data with varied update cycles requires configuring batch-specific knowledge base incremental synchronization rules to match real-time updates of raw material batches and monthly refreshes of industry data. The continuous text feature of long condition logs requires adjusting segmentation parameters to avoid truncating critical condition nodes. High concentration of professional terminology requires configuring domain adaptation parameters for the model to improve recognition accuracy of professional terms.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large files such as refractory material long condition logs and complete test reports take longer to parse. 600 seconds covers most large file parsing requirements |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single complete kiln operating log or collection of multiple batches of quality inspection reports typically has a large file size. 1000 MB meets conventional bulk upload requirements |
chunkSize | 800–1200 characters | Refractory material professional documents contain long sentence condition descriptions and professional formulas. 800–1200 character segmentation preserves semantic integrity and avoids truncating critical parameters |
similarityThreshold | 0.75–0.85 | Semantic similarity of professional terms requires a high threshold to filter irrelevant content. 0.75–0.85 balances recall precision and coverage |
recallCount | Top 6 entries | Refractory material investment research requires balancing multi-dimensional data (raw materials, operating conditions, industry data). 6 recall entries cover core reference information without exceeding the model context window |
modelFineTuneLevel | Domain adaptation mode | Refractory materials contain a large number of professional terms and standardized fields. Domain adaptation mode improves recognition accuracy of terms and field extraction |
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. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Issue: After upgrading to version 4.8.15, the configured qwenplus model automatically switches to gpt-4o during chat. Cause: After the version upgrade, the system's application model binding configuration did not retain original settings, and the global default model is loaded by default.
- Issue: After integrating the model, "request timed out" or "unable to parse input" errors are returned during communication. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. Parsing of long condition log files timed out, causing the model call link to interrupt. - Issue: Unable to determine adaptability between domestic and overseas model versions. Selected models return response content that does not meet investment research requirements. Cause: Model fine-tuning parameters were not configured based on the usage scenario of refractory material professional terms. Generic models cannot accurately recognize professional fields and terms.
How to confirm correct configuration
- Upload a complete refractory material test report. Check whether the parsed segments retain complete professional fields and units, and verify whether the segment length matches the configured
chunkSizeparameter requirements. - Initiate an investment research query about refractory material operating conditions. Check whether the number of returned recalled documents matches the configured
recallCountparameter, and verify that the similarity threshold filters irrelevant content. - Enter the model binding page. Confirm that the configured model API key and version number have not been tampered with. Initiate a model test call and check whether the returned results correctly recognize professional terms and units.
- View the knowledge base incremental synchronization logs. Confirm whether data with different update cycles (raw material batches, industry data) has completed updates according to the configured synchronization rules.
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.