What the Data for This Category Looks Like
The investment research data for the plastics and rubber industry mainly comes from domestic commodity futures exchanges, industry associations, customs import and export databases, spot market quotation platforms, and professional research report institutions. The data update cycles vary: spot quotations and futures quotes are updated in real time on trading days; industry dynamics and enterprise operation data are updated weekly or monthly; in-depth research reports are released quarterly or irregularly. Documents include structured quotation sheets and inventory data, with fields such as density, melt index, tensile strength and other chemical-specific parameters, using professional measurement units including g/cm³, g/10min, MPa, etc. They also include unstructured industry analysis text.
Constraints Imposed by These Characteristics on Deployment and Upgrade
Data with different update cycles requires deployments to support flexible switching between scheduled full synchronization and incremental synchronization, to avoid excessive system resource consumption from full synchronization. Professional chemical fields and units require the deployment of a custom entity recognition dictionary to ensure complete parsed data fields and unified units. The large variation in document structure requires upgrades to support multiple parsing templates, to handle concise spot data and long-form research report content separately. The characteristic that data volume fluctuates with market changes requires reserving sufficient storage and vector database expansion space during deployment, to avoid system lag caused by sudden data volume increases.
Configuration Settings
| Configuration Key | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1500 MB | Single industry research report or customs data files typically do not exceed 1500 MB, this value covers most file upload requirements |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Long-form in-depth research reports can take up to around 500 seconds to parse, reserving sufficient time avoids parsing interruptions |
maxContext | 8000–12000 characters | Professional terminology is dense in the plastics and rubber industry, sufficient context length preserves association between fields |
Retrieval Count | Top 8–12 results | Investment research analysis requires multi-dimensional data support, this value balances retrieval accuracy and system resource consumption |
Similarity Threshold | 0.72–0.85 | Professional chemical terms have high semantic differentiation, this threshold filters irrelevant retrieval results |
VECTOR_DB_REFRESH_INTERVAL | 3600 seconds | Spot quotations and market data are updated daily, refreshing the vector database once per hour meets real-time requirements |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Symptom: A
413 Request Entity Too Largeerror is returned when uploading large files after Docker deployment. Cause: TheUPLOAD_FILE_MAX_SIZEparameter was not adjusted, and the default configuration cannot accommodate single large industry research report files. - Symptom: A
CUDA out of memoryerror is triggered during concurrent multi-user access. Cause: Video memory was not reasonably allocated based on model parameter count and concurrent session count. Running a 32B model on a single GPU requires reserving at least 24 GB of video memory, and an additional 2–3 GB of video memory must be reserved for every 10 additional concurrent sessions. - Symptom: External model calls fail, with prompts for authentication errors or inability to connect to locally deployed external models. Cause: The correct administrator password was not set via the environment variable
INITIAL_ROOT, or the corresponding interface address and port were not filled in the model configuration.
How to Confirm Configuration is Correct
- Upload a plastics and rubber spot quotation file containing professional chemical parameters, check whether the parsed fields are complete and units are correct, to confirm that entity recognition and parsing configurations are active.
- Initiate concurrent test requests of a specified quantity, review system video memory and CPU usage, to confirm that resource allocation meets preset concurrent requirements.
- Manually trigger an incremental synchronization task, check the vector database update logs, to confirm that the synchronization cycle configuration aligns with data update rhythm requirements.
- Call the external model interface to initiate a test request, verify that returned results meet expectations, to confirm that authentication parameters and interface configurations are 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.