What the data for this category looks like
Refractory materials financial investment research data sources include industry standard documents, production enterprise quality inspection documents, kiln operation and maintenance records, industry association supply and demand briefs, and academic research materials on high-temperature materials. Update frequencies vary: Industry standards are updated every 1 to 3 years, enterprise quality inspection documents are updated with each production batch, operation logs are updated daily, and industry briefs are released monthly or quarterly. Document structures include plain text clauses, quality inspection reports with parameter tables, analysis documents with working condition charts, and project proposal files. Fields include parameters such as refractoriness, bulk density, and compressive strength, with units of degrees Celsius, grams per cubic centimeter, and megapascals respectively.
What constraints these characteristics impose on the document parsing and chunking link
Industry standard documents contain many long clauses. When chunking, avoid splitting professional terms from their associated content, as this will impair context understanding during investment research. If structure is lost when parsing quality inspection reports with parameter tables, parameters and their corresponding units cannot be matched, reducing the availability of the investment research knowledge base. Operation logs are high-frequency small documents. When parsing in batches, control the processing time per document to avoid overall task backlog that affects investment research efficiency. For analysis documents with charts, the working condition data marked on the charts must be extracted synchronously with the text. Missing marked information will lead to missing key parameters. In addition, documents with multi-unit parameters must retain the binding relationship between parameters and units to avoid unit misalignment after chunking that affects investment research judgments.
How to Set Configurations
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxChunkSize | 800–1200 characters | Refractory industry documents combine long clauses and parameters. This range preserves the integrity of professional terms and their associated parameters |
chunkOverlap | 100–150 characters | Prevents context breaks after chunking long clauses, and supports cross-chunk information association in investment research scenarios |
PARSE_TABLE_ENABLE | Enabled | Parameter tables in quality inspection reports and standard documents must retain their structure to ensure the corresponding relationship between parameters and units is not lost |
PARSE_IMAGE_ENABLE | Disabled | Charts in investment research documents are mostly working condition diagrams. Prioritize extracting chart annotation text during parsing, no need to render image content |
PARSE_TIMEOUT | 300 seconds | Adapts to the parsing time of large industry standard documents and batch operation logs, avoiding timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 500 MB | Supports upload and parsing of large project proposals and batch quality inspection reports |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test against your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Parsed parameter tables are truncated when displayed in the knowledge base, and parameters and units cannot be fully shown. Cause: The
PARSE_TABLE_ENABLEconfiguration is not enabled, ormaxChunkSizeis set too small, causing table content to be split and losing structural association. - Phenomenon: When uploading large industry standard documents, the log reports a
slow operation xxxxmserror, and the parsing task times out. Cause:PARSE_TIMEOUTis set below 300 seconds, not adapting to the parsing time of long refractory material documents, or non-essentialPARSE_IMAGE_ENABLEis not disabled, leading to additional processing overhead. - Phenomenon: After uploading a docx document with images, the image field in the returned result shows
Invalid image file. Cause: The image whitelist is not configured, or the image storage path is not set whenPARSE_IMAGE_ENABLEis enabled, causing image parsing failure.
How to Confirm the Configuration Is Correct
- Upload a single industry standard document, check if the chunked text retains complete professional clauses and parameter combinations, and adjust
maxChunkSizeto the expected length range. - Upload a quality inspection report with parameter tables, check if the table structure is complete in the knowledge base and that parameters and units correspond one-to-one, and confirm that
PARSE_TABLE_ENABLEis enabled. - Upload large batch documents, check if timeout errors appear in the parsing logs, and adjust
PARSE_TIMEOUTto a value matching the document scale. - Upload a docx document with images, check if invalid image prompts appear in the returned results, and configure image processing related parameters as needed.
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.