What the data for this category looks like
Chemical raw material investment research data primarily comes from industry association public reports, production company compliance documents, customs import and export statistics, spot price platforms, and MSDS safety technical specifications. Data update cycles vary: spot prices are updated daily, annual industry reports are released quarterly or annually, and MSDS documents are updated when components or compliance requirements change. Document structures mostly consist of structured parameter tables, including fields such as CAS registry number, molecular formula, molecular weight, melting point, boiling point, density, purity, packaging specifications, and more. Units cover professional chemical industry units like g/mol, ℃, MPa, kg/barrel, and others. Some long documents include bulk transaction data for upstream and downstream supply chains.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The multi-dimensional parameters and specialized unit requirements of chemical raw material data mean that multi-turn dialogue must accurately match field identifiers to avoid parameter confusion. Long documents such as complete annual supply chain reports occupy a large context window, so the length of documents recalled in a single turn must be limited to prevent model inference timeouts. Differences in update frequencies across data sources require the dialogue system to support incremental recall, prioritizing access to the latest spot prices and compliance data. Additionally, CAS numbers are unique identifiers, so pre-existing raw material identifiers must be retained during multi-turn dialogue to avoid repeated user input and prevent the model from matching incorrect chemical raw material parameters.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 2500–3500 characters | A single document’s parameter section for chemical raw materials typically includes 3-5 core indicators. This range covers the context needs of 3-4 rounds of investment research dialogue, avoiding model inference overload |
Recall Count | Top 8–12 entries | Chemical raw material data includes three core dimensions: physical and chemical parameters, supply chain, and compliance. Too many recalled entries increase token consumption, while too few fail to cover complete investment research needs |
Similarity Threshold | 0.75–0.85 | CAS numbers for chemical raw materials are unique. A threshold that is too low will match irrelevant raw materials, while a threshold that is too high will fail to recall alternative analysis data for similar categories |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | A single complete industry report or large MSDS document typically exceeds 10 pages. A longer parsing duration prevents parsing failures for large documents |
UPLOAD_FILE_MAX_SIZE | 500 MB | Some large industry database documents have significant file sizes. This upper limit supports complete import of bulk data files related to chemical raw materials |
CONCURRENCY_LIMIT | 20–30 concurrent requests | Concurrent requests for chemical raw material investment research typically come from internal institutional investment research teams. This range meets daily bulk dialogue needs |
The parameter values provided on this page are all common recommended starting points for configuration. 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 against your own samples before finalizing.
Three Common Misconfigurations
- Symptom: Model response delay exceeds 15 seconds after multi-turn dialogue, with
context window overflowshown in logs. Cause: ThemaxContextparameter is not restricted, causing the total tokens of recalled documents and context to exceed the model’s upper limit. - Symptom: Calling the dialogue API to upload a file returns
413 Request Entity Too Large. Cause: TheUPLOAD_FILE_MAX_SIZEparameter is not adjusted, exceeding the default file upload limit and preventing import of large industry reports. - Symptom: Physical and chemical parameter charts generated via prompt calls to MCP fail to display completely, with truncated images shown on the page. Cause: The prompt does not explicitly specify the chart output size, and the
MCP_IMAGE_MAX_SIZEparameter is not configured, causing generated images to exceed the default display threshold.
How to Confirm Proper Configuration
- Upload a typical chemical raw material MSDS document, initiate multi-turn questions, and verify that the parameters extracted by the model match the document content.
- Call the dialogue API to upload a file in the specified format, and check whether the knowledge base successfully recalls the corresponding content.
- Initiate 3 consecutive rounds of investment research questions targeting the same chemical raw material, and check whether the context is correctly retained and the model can associate the pre-provided CAS number parameter.
- Call MCP to generate a physical and chemical parameter chart for chemical raw materials, and check whether the image displays completely without truncation.
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.