What the data for this category looks like
Data sources for coking coal research reports include industry association coking coal branches, futures exchanges, securities firm coal industry research teams, and public disclosures from large coking coal production enterprises. Regular reports are released on a weekly and monthly basis. Temporary special reports are generated for sudden policy adjustments or supply and demand fluctuations. Document structure includes report title, issuing institution, release date, core supply and demand data tables, price trend analysis, upstream and downstream industrial chain related content, and quality parameters such as coking coal ash content, sulfur content, and colloidal layer thickness. Fields include report topic, release time, core data summary, and industrial chain related indicators.
Constraints on Knowledge Base Retrieval and Recall
The multi-source and scattered nature of coking coal research reports requires the retrieval system to support associated recall across channels, avoiding data silos. Differences in update rhythms require distinguishing index triggering logic for regular and temporary reports, ensuring timely synchronization of the latest content. The large number of structured tables in documents will cause common text splitting methods to lose the semantic association of indicators within tables, so dedicated table parsing support is needed. Additionally, coking coal research reports focus on professional industrial chain indicators, so precise matching of specialized terminology is required during retrieval to avoid confusion with research report content of other coal categories, which imposes higher requirements on recall relevance filtering.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Coking coal research reports contain a large number of structured supply-demand and quality indicator tables. Enabling this option preserves the semantic association information within tables |
RECALL_CHUNK_SIZE | 800–1200 characters | Analysis paragraphs in coking coal research reports often contain complete supply-demand logic units. This length preserves contextual associations |
UPLOAD_FILE_MAX_SIZE | 500 MB | A single coking coal research report collection usually contains multiple historical reports, requiring support for large-file batch uploads |
INCREMENTAL_INDEX_INTERVAL | 6 hours | Regular coking coal research reports are updated weekly. A 6-hour incremental index can synchronize newly released report content in a timely manner |
SIMILARITY_THRESHOLD | 0.72–0.78 | Coking coal research reports are dense with professional terminology. This threshold filters low-relevance general coal industry content |
RERANK_TOP_N | Top 8 entries | Coking coal industrial chain related data is abundant. Reranking is needed to select the most relevant report segments for retrieval needs |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, 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 Mistakes
- Symptom: After restarting the server, the knowledge base status shows "Not Ready", with no automatic indexing progress. Recovery is only possible after manually triggering indexing. Cause: The
AUTO_REINDEX_ON_RESTARTparameter is not configured. Under the default logic, automatic reindexing is not triggered after restart. - Symptom: Structured table content in imported coking coal research reports cannot be extracted normally, and no results corresponding to indicator fields are returned during retrieval. Cause: The
PARSE_TABLE_ENABLEconfiguration is not enabled. Table content is split into scattered text, losing indicator association semantics. - Symptom: When initiating a coking coal-related retrieval via the knowledge base, the returned results take more than 15 seconds, and some requests trigger
504 Gateway Timeouterrors. Cause: The number of recalled entries is set too high, and incremental indexing is not enabled. Full retrieval of a large number of historical research reports leads to excessive processing time.
How to Confirm Correct Configuration
- Upload a standard coking coal research report, check if tables and fields in the parsing result are complete, and confirm that the
PARSE_TABLE_ENABLEconfiguration is active. - Manually trigger an incremental index, wait for the duration set in
INCREMENTAL_INDEX_INTERVAL, then check if the knowledge base automatically synchronizes newly uploaded research reports, confirming that the scheduled indexing logic is running normally. - Initiate a retrieval related to coking coal supply-demand or quality indicators, check the relevance and number of returned results, and adjust
SIMILARITY_THRESHOLDandRERANK_TOP_Nuntil they meet retrieval needs. - Simulate a server restart operation, check if the knowledge base automatically restores the indexing status, confirming that the
AUTO_REINDEX_ON_RESTARTconfiguration is correct.
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.