What data looks like for this category
Coal chemical industry research reports primarily come from public reports released by coal industry associations, segmented chemical industry research reports from securities firms, and regular analysis documents from specialized coal chemical consulting institutions. Three update cadences apply:
- Routine industry tracking reports are updated monthly
- In-depth industrial chain reports are released quarterly
- Real-time interpretation documents are generated after the release of national coal chemical policies
Typical document structure includes industry supply and demand overview, core product production capacity and price data, upstream and downstream industrial chain linkage analysis, and policy impact interpretation. Included fields are product name, production capacity value, price range, policy document number, and associated enterprise names. Common units are ten thousand tons, yuan per ton, quarter/year.
What constraints do these characteristics impose on knowledge base retrieval and recall?
Scattered sources of coal chemical research reports create format differences. The retrieval link must support cross-source field standardization mapping to avoid confusion of similar data across different documents. Multi-frequency update rhythms require the knowledge base to support incremental synchronization on a monthly or quarterly basis, while distinguishing static historical data from real-time policy interpretation documents to ensure the timeliness of recalled data. Documents contain a large number of professional numerical values with units. Retrieval must match unit-related keywords to eliminate ambiguity between terms such as "production capacity" and "output", or "yuan per ton" and "ten thousand yuan per ton". The multi-product structure requires the recall link to support filtering by coal chemical segmented product categories to reduce irrelevant results.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Coal chemical research reports contain lengthy industrial chain analysis content. This segment length preserves upstream and downstream association logic and avoids breaking context integrity during splitting |
recallTopK | Top 10–15 results | Coal chemical research reports involve multi-product and multi-dimensional data. A sufficient number of candidate documents must be recalled before effective results are screened via reranking |
similarityThreshold | 0.75–0.85 | Coal chemical industry has a large number of specialized terms. A higher threshold filters irrelevant general chemical content while retaining precise matches for segmented products |
rerankTopN | Top 3–5 results | Final displayed research report content must focus on core information to reduce user reading burden |
incrementalSyncSchedule | 0 0 2 * * ? | Routine research reports are updated monthly or quarterly. This schedule covers incremental data synchronization while ensuring consistency of historical data |
parseFileTimeoutSeconds | 600 seconds | Some in-depth coal chemical research report documents have lengthy content, requiring sufficient time to complete parsing and content splitting |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on samples collected for the specific deployment before finalizing settings.
Three Common Configuration Mistakes
- Scenario: A 403 error is returned when importing coal chemical research reports via web links, and content crawling cannot be completed. Cause: No login-free request headers or proxy for web crawling are configured. Target research report websites block unauthorized crawling requests.
- Scenario: The knowledge base can normally recall results in debug preview, but a prompt indicating no knowledge base selected appears when initiating an official chat. Cause: The official conversation application is not bound to the target knowledge base collection, or the knowledge base release status is not switched to available.
- Scenario: Recalled research report results contain a large amount of non-coal chemical general chemical content, with insufficient matching accuracy. Cause: The similarity threshold is set below 0.75, failing to filter low-correlation general documents, or the recall filtering rule by coal chemical segmented products is not enabled.
How to Verify Correct Configuration
- Run a parsing test on a single in-depth coal chemical research report, and verify that the segmented text retains industrial chain association logic with no obvious content breaks.
- Initiate a retrieval request containing a specific coal chemical product name, and verify that the number of recalled results and the number of displayed reranked results match the configured requirements.
- View the execution logs of incremental synchronization tasks, and confirm that research report data updates are completed according to the set schedule.
- Switch to the official conversation scenario, and confirm that the configured knowledge base can be called normally with no prompt indicating no knowledge base selected.
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.