What This Category of Data Looks Like
Data for refining and chemical research reports comes from three sources: official industry association websites, monthly operation announcements from individual refining and chemical enterprises, and customized research reports from professional industry consulting institutions. The standard update cycle is quarterly. When major changes occur, such as production capacity adjustments or raw material price fluctuations, supplementary documents are released within 72 hours.
Document structures include core modules: overall industry processing volume, single-unit production capacity, raw material procurement costs, product ex-factory prices, and profit calculations. Fields include:
- Processing volume (unit: 10,000 tons)
- Single-unit design production capacity (unit: 10,000 tons/year)
- Raw material procurement price (unit: yuan/ton)
- Product selling price (unit: yuan/ton)
Constraints Imposed on Workflow Orchestration
Differences in data formats across multiple sources create a need for field standardization. A unified field mapping node must be configured to handle unit and naming discrepancies across sources. The non-fixed update cycle requires the workflow to support trigger-based synchronization to avoid unnecessary resource consumption. Long, structured document content requires reasonable segmentation rules to prevent core data modules from being broken apart during splitting. Highly specialized content also needs a pre-processing validation node to filter non-core industry comments, retaining only structured data suitable for retrieval.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_DOC_SPLIT_LENGTH | 800–1200 characters | Core data modules of refining and chemical research reports fall within this length range, preventing data integrity loss during splitting |
KNOWLEDGE_RECALL_TOP_N | Top 8 entries | Refining and chemical research reports contain a large number of core data entries. Too few recalled entries will lead to missed critical production capacity or price information |
LLM_CONTEXT_WINDOW_LIMIT | 16384 tokens | Post-parsing text length of individual research reports is relatively long, matching the context window limits of mainstream large language models |
DATA_SOURCE_SYNC_TRIGGER | Triggered by document update time | The update cadence of refining and chemical research reports is not fixed. Scheduled synchronization will result in unnecessary pull requests |
FIELD_UNIT_CONVERSION_RULE | Set based on on-site calibration | Unit format differences across sources are significant. Conversion rules must be configured separately for each connected data source |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Parsing time for individual long research reports is relatively long, preventing timeout interruptions |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Observation: Structured responses generated in the workflow are misaligned with original content, and core data fields are matched incorrectly. Cause: No reasonable document segmentation rules are configured. The large language model cannot accurately identify structured data modules in research reports, leading to failed marker matching.
- Observation: Knowledge base search works correctly during debugging, but relevant refining and chemical research report content is not returned during AI conversation calls. Cause: No dedicated classification tag for refining and chemical research reports is added to the retrieval configuration, or the number of recalled entries is set too low to cover required information.
- Observation: Timeout interruptions occur frequently during workflow execution. Cause: The value of
PARSE_FILE_TIMEOUT_SECONDSis not adjusted. Parsing time for individual long research reports exceeds the default setting.
How to Verify Correct Configuration
- Upload a single typical refining and chemical research report, review the parsed text segments, confirm that split modules do not damage core data structures, and adjust
PARSE_DOC_SPLIT_LENGTHuntil the expected result is achieved. - Initiate a test conversation, input a specific question related to the refining and chemical industry, check whether the returned results include research report data from the knowledge base, and adjust the recall configuration until required information is covered.
- Simulate a single data synchronization trigger, check that new content is only pulled when research reports are updated, to avoid unnecessary synchronization.
- Run the full workflow, check the execution logs for timeout errors or field parsing errors, and adjust the corresponding configuration items until no exceptions occur.
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.