What the data for this category looks like
Glass investment research data mainly comes from industry association public reports, bulk commodity spot trading platform quotes, customs import and export declaration data, and monthly operation briefings from manufacturing enterprises. Spot price data updates daily. Production capacity and import and export data updates weekly or monthly. Industry research reports release quarterly or at project milestones. Data documents fall into two categories: structured tables and unstructured research reports. Structured fields include glass categories (float, photovoltaic, tempered, etc.), specifications (thickness, light transmittance), prices (yuan/weight box, yuan/square meter), production capacity (ten thousand weight boxes/year), and more. Unstructured documents mostly contain industry trend analysis and policy interpretation content.
What constraints do these characteristics impose on model access and configuration
The mixed update frequencies, varied structured fields, and differences between glass sub-categories create clear constraints for model access and configuration. Different data update rhythms require configuring incremental sync rules. Differentiate daily-updated spot price data from monthly-updated production capacity data to avoid duplicate sync or sync delays. Structured fields have clear units and sub-category tags. Configure unified field mapping rules to prevent unit confusion or mis-retrieval of cross-category data. Unstructured research report documents have long length. Adjust segmenting and context length configurations to ensure the model can fully parse document content.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Glass industry research report PDFs are typically 10 to 50 pages long and contain multiple sets of structured tables, which require longer parsing time |
maxContext | 8000–16000 characters | Glass investment research documents include multi-field comparison tables and long-paragraph analysis, requiring sufficient context to support model understanding |
RECALL_TOP_N | Top 8–12 results | There are many glass sub-categories, so sufficient relevant data across different categories must be retrieved to avoid missing key information |
SIMILARITY_THRESHOLD | 0.75–0.85 | Structured field matching has high precision requirements. This threshold filters irrelevant retrieval results from non-glass categories |
UPLOAD_FILE_MAX_SIZE | 500 MB | Industry research report collections have large total file sizes, so this configuration supports complete bulk document uploads |
MCP_TOOL_TIMEOUT | 300 seconds | AntV chart generation requires processing multiple sets of glass price data, which takes longer than general-purpose plugins |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, 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 errors
- Phenomenon: Calling the MCP plugin returns an AntV Chart code block but fails to render the chart. Cause: The
MCP_CHART_RENDERconfiguration item is not enabled, or the model prompt does not include clear instructions for chart rendering. - Phenomenon: A
Cannot read properties of null (reading 'q')error is thrown during retrieval. Cause: The field mapping for glass data is not configured correctly, and theweight_box_pricefield is incorrectly bound to an empty retrieval parameter. - Phenomenon: After connecting the deepseek code model, it fails to generate structured glass production capacity tables. Cause: The
CODE_EXECUTION_PERMISSIONconfiguration is not enabled, or the model context does not include field descriptions for glass data.
How to confirm successful configuration
- Upload a PDF document containing glass spot prices, check if the parsed structured fields include
price,specification,regionand the units match expected values. - Initiate a query including "2024 factory prices of float glass across regions", verify that the proportion of glass-related documents in the retrieved results meets retrieval requirements.
- Call the AntV Chart MCP plugin, pass simulated monthly glass price data, confirm that the corresponding line or bar chart is rendered on the interface.
- Configure the deepseek code model and initiate a request to generate "2024 photovoltaic glass production capacity list", confirm that the returned result includes executable code blocks and correct field mapping.
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.