What the Data for This Category Looks Like
Chemical raw material market and yield data primarily comes from domestic commodity exchanges, industry associations, and third-party professional data service providers. Data updates follow a workday cycle. Spot prices are synchronized daily after market close. Futures contract prices update in real time during trading hours. Each data document includes fields such as product name, origin, core specifications, daily transaction price, settlement price, weekly average price, and monthly year-over-year changes. Most units are yuan per ton or kilogram-based pricing units. Some segmented product categories include associated fields for storage costs and transportation rates.
Constraints for Multi-turn Dialogue and Prompt Engineering
Chemical raw material data has multiple dimensions, with variations in specifications and pricing cycles. Multi-turn dialogue must gradually guide users to clarify the origin, core specifications, and pricing type of their target product category, to avoid confusion between spot and futures yield statistical logic. Data updates follow a workday cycle, so prompts must restrict calls to valid records from the current day and the past seven workdays, excluding invalid data during market closures. Some product categories include associated storage and transportation fields. During multi-turn interactions, the system must proactively confirm whether the user requires associated reference data, to prevent excessive expansion of the retrieval scope.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Chemical raw material data documents have many fields. Multi-turn dialogue requires retaining complete interaction history and multiple retrieval results to avoid context overflow |
RECALL_TOP_N | Top 6–8 results | Chemical raw material categories have many segments and large specification differences. Sufficient retrieval results must be retained to cover valid data across different origins and purity dimensions |
SIMILARITY_THRESHOLD | 0.75–0.85 | Differences in specifications and pricing units for chemical raw materials easily cause fluctuations in semantic similarity. A balance must be struck between retrieval precision and coverage |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Bulk chemical raw material data reports have large file sizes. Sufficient time must be reserved for field extraction and vector generation |
UPLOAD_FILE_MAX_SIZE | 500 MB | Industry data is mostly bulk CSV or Excel files. Support for large-volume bulk data uploads is required |
ENABLE_MULTI_TURN_FOLLOWUP | Enabled | Chemical raw material data requires clarification of core parameters such as origin and purity. Multi-turn follow-ups can complete missing retrieval dimensions |
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 targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: Vector indexing tasks remain in a waiting state with no progress. Cause: No vector model adapted to segmented chemical raw material categories is configured, or field splitting parameters for bulk data are not adapted to long document structures, resulting in index generation timeout.
- Symptom: Industry data files uploaded during dialogue cannot be read, but the knowledge base upload process can recognize them normally. Cause: The file parsing whitelist for dialogue scenarios does not include .xlsb or .gz compression formats commonly used for chemical raw materials, resulting in upload requests being blocked.
- Symptom: Retrieval returns no results after being initiated during dialogue, but corresponding content can be normally retrieved during knowledge base testing. Cause: The data update cycle is not explicitly specified during multi-turn dialogue, and old data from market closures is called by default, or origin and specification parameters for the product category are not limited, leading to a mismatch between the retrieval scope and query requirements.
How to Confirm Proper Configuration
- Initiate a single-turn test dialogue, enter a query for a specified chemical raw material category, verify that the returned result fields include origin, specifications, and daily pricing unit, and confirm that the retrieval dimension matches the query requirements.
- Import a bulk chemical raw material data file, check the progress logs of the vector indexing task, and confirm that the parsing duration does not exceed the configured timeout threshold.
- Initiate two progressive queries: first enter a broad product category name, then supplement with origin and specification parameters, and confirm that the system can automatically complete subsequent retrieval dimension restrictions.
- Upload a test file to the dialogue scenario, confirm that the file can be normally parsed and included in the retrieval scope, with no format errors.
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.