What the data for this category looks like
Data sources for the chemical fiber industry mainly come from commodity trading platforms, public reports from domestic chemical fiber industry associations, and industry research databases of financial institutions. Data update frequencies fall into three categories: daily, weekly, and monthly. Daily data includes high-frequency indicators such as spot prices and operating rates. Weekly data includes medium-term indicators such as factory inventory and logistics turnover. Monthly data includes long-term indicators such as import and export volume and capacity changes. Document structure includes structured indicator tables and unstructured industry analysis paragraphs. Structured fields include:
- PX spot price (unit: yuan/ton)
- Polyester filament operating rate (unit: %)
- Polyester chip inventory (unit: 10,000 tons)
- Monthly export volume (unit: 10,000 tons)
- Enterprise production capacity scale (unit: 10,000 tons/year)
Each due diligence report typically covers dozens of pages of structured reports and analysis content.
Constraints imposed by these characteristics on model access and configuration
Multiple update frequencies of chemical fiber industry data require configured differentiated scheduled pull rules. This avoids delays in high-frequency data synchronization or repeated pulls of low-frequency data. Diverse structured fields and units require configured field mapping rules. This ensures the model accurately identifies and associates industry indicators across different dimensions. Mixed input from multiple data sources requires configured segment parsing parameters. This balances context completeness and retrieval accuracy. Strong correlation between cross-category indicators requires configured recall filtering rules. This avoids introducing invalid data from non-target chemical fiber categories. The long document nature of due diligence reports requires a sufficiently large context window. This ensures the model can fully associate cross-paragraph industry data.
How to set the configuration
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | Chemical fiber due diligence reports contain multi-dimensional structured indicators and cross-paragraph analysis. A sufficient context window is needed to associate cross-category indicators |
PARSE_CHUNK_SIZE | 800–1200 characters | Chemical fiber data includes structured fields with clear units. Excessively long segments damage indicator correlation, while excessively short segments increase context fragmentation |
RECALL_TOP_N | Top 6–10 results | Chemical fiber industry indicators have strong correlation. Too many recalled results introduce irrelevant data, while too few fail to cover all associated indicators |
SIMILARITY_THRESHOLD | 0.72–0.85 | Differences between chemical fiber sub-categories such as polyester and nylon must be distinguished. A threshold that is too low introduces non-target category data |
SYNC_INTERVAL_HOURS | Split by data type: 12 hours for daily data, 720 hours for monthly data | Chemical fiber industry data has large differences in update frequencies. Matching the corresponding interval ensures data timeliness |
UPLOAD_FILE_MAX_SIZE | 2000 MB | A single chemical fiber due diligence report may include multiple industry reports and analysis documents. Large file upload support is required |
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 testing on independent samples is recommended before finalizing configuration.
Three common configuration errors
- Phenomenon: An error of the type
build/mode1/main.go:79 [error]or[FATAL] failed to getappears when starting the OneAPI container. Cause: The server is offline, or access permissions for third-party data sources are not configured, making it impossible to pull public data interfaces for the chemical fiber industry. - Phenomenon: Responses to conversations initiated via Feishu or WeChat channels contain a large number of
#,*and other punctuation marks. Cause: The Markdown automatic rendering switch for conversation output is not disabled, or output format filtering rules are not configured, causing parsed segment markers to be returned directly. - Phenomenon: After accessing the Claude API, the generated chemical fiber due diligence report lacks structured indicator fields. Cause: The required chemical fiber-specific fields are not specified in the model configuration, or field mapping rules are not configured, causing the model to fail to identify and organize industry data.
How to confirm the configuration is correctly set up
- Check data synchronization logs to confirm that chemical fiber data with different update frequencies such as daily and monthly are automatically pulled at the configured interval, and storage records match the data source update time.
- Initiate a test query, enter questions related to the chemical fiber industry, and verify that the returned results contain no extra punctuation marks, and include correct fields and unit information.
- Check the API key configuration page to confirm that the permissions of added model keys are normal, with no expired or restricted prompts.
- Upload a chemical fiber due diligence report document to confirm that the parsed segment length falls within the range of the configured
PARSE_CHUNK_SIZE, with no excessively long or short segments.
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.