What the data for this category looks like
Data sources include national building material industry standard documents, quality inspection reports from production enterprises, test reports from research and development institutions, and raw material and finished product quotation documents from upstream and downstream supply chains. Update cycles fall into three categories:
- Industry standard documents are updated every 3 to 5 years.
- Production and R&D test data is updated with batch production or R&D progress.
- Supply chain data is updated monthly.
Common document structures are structured tables, standard PDF text, and Excel batch test reports. Common fields and units include refractoriness (unit: ℃), load softening temperature (unit: ℃), bulk density (unit: g/cm³), porosity (unit: %), and chemical composition proportion (unit: %).
How These Data Characteristics Create Deployment and Upgrade Constraints
The multi-source, multi-format nature and strict unit requirements of refractory material investment research data create three types of constraints for deployment and upgrade. First, parsing adaptation constraints: Data includes multiple formats such as structured test tables, standard PDF text, and Excel batch reports. During deployment, configure parsing plugins compatible with multiple formats. During upgrade, add parsing rules for corresponding formats. Second, synchronization scheduling constraints: Industry standard documents are updated infrequently, production test data is updated with batches, and supply chain data is updated monthly. During deployment, configure incremental synchronization tasks with different priorities to avoid excessive resource usage from full synchronization. Third, field verification constraints: Physical and chemical indicators have strictly corresponding units. During deployment, preset mapping rules for fields and units. During upgrade, verify rule compatibility to prevent unit conversion errors.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Most refractory material investment research data consists of structured test tables; enabling this allows accurate extraction of fields and units |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Batch test Excel or standard PDF documents have large file sizes; this setting adapts to bulk upload requirements |
SYNC_INCREMENTAL_INTERVAL | 15 minutes (high-frequency data), 7 days (low-frequency standard documents) | Update frequencies vary widely across data sources; separate configurations balance synchronization efficiency and resource usage |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large batch test Excel documents take longer to parse; this extends the timeout threshold |
RECALL_TOP_N | Top 6 entries | Investment research requires balancing comprehensiveness and accuracy, avoiding interference from excessive redundant data |
MAX_CONTEXT | 800–1200 characters | Descriptive text for refractory material physical and chemical parameters is lengthy; this adapts to long-text recall requirements |
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 targeted analysis, and it is recommended to test against your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: After local deployment, calling the model interface returns a 500 status code with a model connection failure prompt. Cause: Local model port mapping parameters were not configured correctly, preventing FastGPT from establishing a connection with the model service.
- Phenomenon: After uploading a batch of test Excel files, units for some physical and chemical fields are lost. Cause: The unit extraction function for table parsing was not enabled, resulting in failure to correctly identify units in structured data.
- Phenomenon: In version V4.8.10-fix2, knowledge base search results are displayed directly in the interface, and a search result appears again after AI reply. Cause: The front-end native search result display switch was not turned off, resulting in duplicate output of search and AI reply content.
How to Verify Proper Configuration
- Upload a refractory material quality inspection document, check if the parsed data retains the original fields and units to confirm that the parsing configuration is correct.
- Trigger an incremental synchronization task, check that the synchronization log only records updated data sources to confirm that the synchronization scheduling configuration is correct.
- Initiate an investment research query, check that only AI reply content is displayed in the interface with no duplicate search results to confirm that the result display configuration is correct.
- Test the local model connection, check that there are no timeout errors in interface calls to confirm that the model configuration is correct.
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.