What the Data for This Category Looks Like
Coking coal research report data primarily comes from public reports issued by coal industry associations, delivery standard documents from futures exchanges, PDF-based industry analysis reports from securities firms, and spot price data from major production areas and ports. Update frequencies include daily spot quotes, weekly industry inventory reports, and irregular in-depth analysis reports. Most documents are multi-page PDFs containing structured data tables and textual analysis content. Structured fields include caking index, total moisture, sulfur content, ash content, price per ton, and similar metrics. Common units are %, yuan/ton, g/g, and other standard units for these metrics.
Constraints Imposed on Document Parsing and Chunking
Coking coal research reports have a high volume of structured tables, mixed field units, and variations across different coal grades. These factors require the parsing process to accurately extract cell data and prevent parsing errors across rows or columns. Irregular in-depth reports have long lengths. Chunking rules must be adapted to avoid truncating core analysis content. Daily updated spot quote data has strict timeliness requirements. The parsing process must support incremental processing to avoid re-parsing full historical document sets. Data for different coking coal grades is scattered across different sections. Chunking must cluster content by grade to improve accurate matching during subsequent retrieval.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_CHUNK_SIZE | 800–1200 characters | Coking coal research reports contain long analytical passages and structured tables. This range balances content completeness and retrieval accuracy, avoiding overly fragmented or overly long single chunks. |
PARSE_CHUNK_OVERLAP | 100–150 characters | Analytical content in coking coal research reports often spans chunk boundaries. Setting overlap preserves contextual connections and avoids breaks in critical logic. |
PARSE_TABLE_EXTRACT_MODE | structured_only | Structured data tables in coking coal research reports are core retrieval content. Extracting only structured tables filters redundant text and improves retrieval accuracy. |
PARSE_INCREMENTAL_ENABLE | Enabled | Daily updated spot quote data accounts for a large share of total data. Incremental parsing skips already processed historical documents and reduces parsing time. |
PARSE_TIMEOUT_SECONDS | 600 seconds | Some in-depth coking coal research reports have long lengths. This timeout setting avoids forced interruption of long document parsing. |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single files of in-depth coking coal industry research reports may be large. This setting supports parsing of large file uploads. |
The parameter values provided on this page are general recommendations for establishing configuration baselines. 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 Misconfigurations
- Symptom: After uploading a coking coal research report PDF, the data processing step returns empty content, and no matching results appear in search tests. Cause: The table structured extraction configuration is not enabled, so core price and inventory table data in the research report is not correctly parsed and stored.
- Symptom: Vectorization tasks take too long, causing system response delays. Cause: Chunk size is set below the reasonable range, generating too many chunks for a single document, which increases vectorization computing load.
- Symptom: User query text triggers the document parsing process, occupying parsing resources. Cause: The
QUERY_SKIP_PARSEparameter is not configured correctly, causing non-document queries to be mistakenly added to the parsing process.
How to Verify Proper Configuration
- Upload a coking coal spot quote PDF, review the parsed chunked content, and confirm that table data is fully extracted with correct unit and field matching.
- Check parsing task logs to confirm the incremental parsing switch is active, only newly uploaded documents are processed, and historical documents are not re-parsed.
- Upload a long in-depth coking coal research report, confirm that the parsing task does not trigger a timeout error, and chunk lengths align with preset rules.
- Submit a non-document user query, confirm that the query does not trigger the parsing process, and only document-type content enters the parsing workflow.
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.