What the data for this category looks like
Chemical raw materials research report data mainly comes from industry association public monitoring data, securities firm chemical industry research reports, customs import and export statistics, and real-time quotation systems for chemical parks targeting financial investment. There are two update cycles: real-time quotation data updates daily, and industry supply and demand research reports are released irregularly alongside policy changes and capacity adjustments. Document structures include core fields: chemical raw material name, CAS registry number, spot price, weekly price change rate, upstream and downstream related categories, and monthly capacity data. Units are mostly yuan/ton, ten thousand tons/year, and percentage. Some categories include compliance test indicator parameters.
What constraints do these characteristics impose on model integration and configuration?
The characteristics of chemical raw materials research reports impose multiple constraints on model integration and configuration. Real-time quotation data has high timeliness requirements. Configure a short-cycle recall refresh mechanism to avoid returning outdated information. CAS registry number is the unique identification field. Enable the knowledge base precise matching mode to prevent confusion between different raw materials. Segmented test indicator parameters are mostly independent fields. Adjust document segment length to retain the association between indicators and their corresponding values, and avoid losing context after splitting. Irregularly released industry research reports require configuring incremental update trigger rules. Only sync new content to reduce redundant loading overhead.
How to set the configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | Top 10-15 entries | Core data of chemical raw material research reports is concentrated in a small number of key entries. Excessive recall will interfere with model understanding |
maxContext | 8000-12000 characters | Chemical raw material research reports contain multiple sets of related fields. Sufficient context is required to maintain data relevance |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | A single research report may contain multiple sets of capacity and price data, resulting in longer parsing time |
similarity threshold | 0.75-0.85 | Chemical raw material categories have high segmentation granularity. A relatively high threshold is needed to avoid recalling research reports from unrelated categories |
incremental update switch | Enabled | Industry research reports are released irregularly alongside policy and capacity changes. Incremental update reduces redundant synchronization overhead |
precise matching field | CAS registry number | Chemical raw material names may have aliases. CAS registry number is a unique identification marker, which improves retrieval accuracy |
The parameter values provided on this page are 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 on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon:
ETIMEDOUTerror occurs when parsing a single chemical raw material research report exceeding 5000 characters. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration value is too low, failing to match the actual time required for research report parsing. - Phenomenon:
404 Not Founderror is returned when calling the model. Cause: The model API address or version name is configured incorrectly, such as using a model alias not registered on the platform. - Phenomenon: The model passes the oneAPI test, but returns a format abnormality error when referenced in FastGPT. Cause: Request header parameters for model integration are not configured correctly, causing the platform to fail to recognize valid call requests.
How to Confirm the Configuration is Complete
- Upload a single typical chemical raw material research report, check the knowledge base parsing preview to confirm that core fields such as CAS registry number and spot price are correctly identified and split.
- Initiate a retrieval request for a specific chemical raw material, verify that the number of returned results matches the
recall countconfiguration value. - Call the configured model, input preset test questions, confirm that the returned content references correct research report data and has no format abnormalities.
- Trigger an incremental update task, check the synchronization log to confirm that only newly added research report files are loaded, with no redundant synchronization behavior.
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.