What Data in This Category Looks Like
The data for refractory material intelligent due diligence reports comes primarily from three sources: official quality inspection reports from manufacturers, supply and demand monitoring documents from industry alliances, and acceptance records from downstream application parties. Update frequency varies by data type:
- Batch quality inspection reports from production sides are updated with each shipment
- Industry monitoring data is updated quarterly
- Downstream project acceptance records are updated with project cycles
Document formats include:
- PDF quality inspection reports with fixed templates
- Structured CSV/Excel batch delivery lists
- Project communication emails with handwritten annotations
Core fields include product model, compressive strength, load softening temperature, delivery batch, and raw material ratio. Corresponding units are none, megapascals, degrees Celsius, tons, and parts by mass respectively.
Constraints for Document Parsing and Chunking
Mixed document formats require the parsing engine to support multiple functions at once: retaining PDF layouts, mapping Excel structured data, and extracting email bodies and annotations. This increases the complexity of basic parsing. Performance parameters of refractory materials are strongly tied to their test conditions. Do not separate parameters from their associated descriptions during chunking, as this will lead to incomplete recalled information in subsequent steps. Batch delivery lists often have a large number of rows per document. Split chunks by product batch or delivery order number to avoid overly long single chunks that reduce recall accuracy. When data with different update frequencies are included in the same due diligence report, mark the data update time during chunking. This allows subsequent filtering and recall of content by time dimension.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxChunkSize | 800–1200 characters | Refractory material parameter groups are typically short text. This range covers a single parameter group and its associated test conditions, while avoiding chunks that are too long or too short |
chunkOverlap | 100–150 characters | Retains contextual association between parameters and test conditions, preventing critical information from breaking after chunking |
enableStructuredParse | true | Adapts to structured data from batch Excel delivery lists, automatically identifies the correspondence between columns and fields, reducing manual annotation costs |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Batch Excel documents take longer to parse, preventing parsing failures due to timeout |
parseMode | auto | Adapts to multiple document formats including PDF, Excel, and text, eliminating the need for manual switching of parsing modes |
enableChunkIndex | true | Generates a unique index for each chunk, facilitating subsequent retrieval of specified chunk content via API |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Scenario: When calling the document parsing API of FastGPT 4.8.10, the returned result does not include the chunk index field. Cause: The
enableChunkIndexconfiguration item is not enabled, so no index identifier is generated for chunk data. - Scenario: When parsing documents associated with external rendering tools, an error "Failed to parse Playwright MCP service" occurs. Cause: The correct access address for the Playwright service is not configured, so the parsing engine cannot call the document rendering process.
- Scenario: When copying chunked content on the frontend page, a prompt "Unable to use browser automatic copy, please manually copy the content below" appears. Cause: Cross-origin restrictions exist in the deployment environment, and response headers allowing copy operations are not configured, so the browser copy API cannot function properly.
How to Verify Configurations
- Upload a single refractory material quality inspection report PDF, view the parsed chunk list, and confirm that each chunk's content boundaries meet expectations.
- Call the document parsing API, check whether the returned result includes chunk index-related fields, and confirm that the
enableChunkIndexconfiguration has been correctly enabled. - Upload a batch of structured delivery documents, verify that parsed fields and units are correctly bound, and confirm that the
enableStructuredParseconfiguration is active. - Trigger the parsing process associated with external tools, confirm that no service errors occur, and verify that the service address configuration 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.