What the data for this category looks like
This category’s data comes primarily from domestic chemical spot trading platforms, industry monitoring databases of the China Coatings Industry Association, and public quotation ports of upstream resin and pigment suppliers. Spot quotation data updates daily. Weekly industry supply and demand reports are released weekly. Monthly industry operation reports are updated monthly. Each market report includes these fields: category name, implementation standard number, production origin, transaction benchmark price, total inventory, and downstream application distribution items. Transaction benchmark price uses yuan per kilogram as its unit. Total inventory uses tons as its unit. Downstream application distribution items include quantitative statistics for scenarios such as architectural coatings and packaging inks.
Constraints on Multi-turn Dialogue and Prompt Engineering From These Characteristics
Differing update frequencies for spot data (daily) and weekly/monthly reports require explicit linking of data time dimensions in multi-turn dialogue to avoid confusing market information across periods. Downstream application distribution items cover multiple scenarios including architectural coatings and packaging inks. Multi-turn dialogue must accurately match specified application scenarios to avoid returning irrelevant category data. Data formats vary across sources. Unified field parsing rules must be preset for multi-turn dialogue prompts to prevent misalignment of fields such as category names and production origins. Fixed units for transaction benchmark price and total inventory require verification of unit consistency in returned content during multi-turn dialogue to avoid unit confusion.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 | Paint and ink market data has moderate single-document length. Multi-turn dialogue needs to retain 3-5 rounds of context. This range avoids context truncation. |
recallTopK | Top 6–8 | This category has many sub-scenarios. Sufficient relevant data must be recalled to cover different application directions, while avoiding interference from redundant information. |
similarityThreshold | 0.72–0.80 | Industry data keyword matching has high precision requirements. A value too low will recall irrelevant categories, while a value too high will miss valid data. |
contextClearTrigger | Triggered by specified category switching commands | Switching between different paint and ink categories may occur during multi-turn dialogue. Old category contexts must be cleared promptly to avoid data confusion. |
promptTemplate | Must include three required fields: "current data time range", "corresponding category", "unit annotation" | Unify data output formats for multi-turn dialogue to ensure clear access to valid information. |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large industry report documents requires sufficient time to avoid data loss from timeouts. |
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 targeted analysis. It is recommended to test on relevant samples before finalizing configuration.
Three Common Configuration Errors
- Phenomenon: After more than 3 turns of multi-turn dialogue, the returned market data shows category misalignment or time confusion. Cause: The
contextClearTriggertrigger rule is not configured, and the context of the old category is not cleared, causing residual interference from prior conversation contexts. - Phenomenon: The number of knowledge base recall results exceeds the set range, returning a large amount of irrelevant data. Cause: The
recallTopKparameter is not set correctly, or the similarity threshold is set too low, resulting in recall of low-match content. - Phenomenon: A
504 Gateway Timeouterror is returned when parsing large industry report documents. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter is set too short, failing to reserve sufficient time for document parsing.
How to Verify Correct Configuration
- Initiate two consecutive requests: first request today's spot price for a specific category, then request inventory information for that same category. Confirm returned content associates with the same category, with no context misalignment.
- Initiate requests for two separate scenarios: architectural coatings and packaging inks. Confirm recalled content matches the specified scenario, with no cross-category erroneous data.
- Manually adjust the similarity threshold parameter, test recall results across different thresholds, and confirm matching accuracy of returned content meets business requirements.
- Upload a large industry report, wait for parsing to complete, then initiate related requests. Confirm no timeout or parsing failure prompt appears, verifying parameter settings are reasonable.
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.