What the data for this category looks like
Industrial metals investment research data covers multiple sources: real-time and post-market market data from the Shanghai Futures Exchange (SHFE) and London Metal Exchange (LME), monthly supply and demand balance sheets from the China Nonferrous Metals Industry Association, quarterly operating reports from mining and smelting enterprises, and weekly spot quote reports from third-party industry sources. Data update rhythms vary significantly: spot quotes are updated daily, futures market data is synchronized post-market, and industry reports are released on weekly or monthly cycles. Document structures include three categories: structured market snapshots (including fields such as delivery grade, inventory, premium and discount, with units of tons and USD/ton), unstructured research report snippets, and policy documents. Some documents contain multi-dimensional linked data.
What constraints do these characteristics impose on deployment and upgrade
The multi-source, high-frequency, and mixed structured/unstructured nature of industrial metals data imposes multiple constraints on the deployment and upgrade process. Multi-source data requires configuration of multi-channel synchronization scheduling to avoid knowledge base update delays caused by single data source outages. High-frequency updates require enabling incremental synchronization mechanisms during deployment, rather than full batch updates. For scenarios with mixed structured and unstructured data, differentiated document parsing rules must be configured to balance accurate extraction of market data and semantic understanding of research reports. Data volume fluctuates with industry cycles, so elastic scaling paths for vector databases must be planned in advance to avoid storage bottlenecks during upgrades.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Industrial metals research reports are often long documents with structured tables, requiring extended processing time |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Individual in-depth industry reports may exceed 1 GB, requiring support for large file uploads |
maxContext | 8000–12000 characters | Core logical paragraphs of industrial metals investment research are lengthy, requiring sufficient context for precise recall |
Recall count | Top 8–12 results | Industrial metals data has strong interconnections, requiring coverage of multi-dimensional information such as market trends, supply and demand, and policies |
Similarity threshold | 0.72–0.85 | Filter low-relevance general research reports, retain retrieval results that accurately match the category |
SYNC_INTERVAL | 3600 seconds | Spot quotes are updated daily, hourly incremental sync balances timeliness and service load |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, 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 mistakes
- When deploying a local large language model, failing to correctly configure
OLLAMA_BASE_URLand the model identifier results in500 Internal Server Errorduring question answering. The cause is that the actual access address and registered name of the local model were not written to the.env.localconfiguration file. - When adjusting vllm deployment parameters without adapting to the recall scale of industrial metals data, concurrent requests experience response timeouts. The cause is failing to lower
--max-batch-sizeor set--gpu-memory-utilizationto adapt to batch processing of structured market data. - After upgrading to version 4.8.12, failing to update knowledge base parsing rules results in truncation-related errors when calling knowledge base question answering. The cause is that the vector recall logic was adjusted in the new version, and the
maxContextparameter was not synchronized to adapt to long document parsing.
How to confirm proper configuration
- Upload a single industrial metals industry research report larger than 500 MB, confirm that the upload proceeds normally with no timeout interruptions.
- Initiate 8–12 concurrent knowledge base retrieval requests, check that response times are stable and no
504 Gateway Timeouterrors occur. - After upgrading to version 4.8.12, enter the knowledge base management page, confirm that no field validation-related error prompts appear when creating a knowledge base.
- After configuring the local model, initiate a test call in the application debugging interface, confirm that the returned results include matching industrial metals market data, and no 500-level errors occur.
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.