What the data for this category looks like
Data for metallurgical coal financing daily reports comes from official daily delivery data released by domestic coal trading centers, daily report information from futures delivery warehouses, and trade financing summary documents from industry news agencies. Updates follow a fixed daily schedule, with full daily business data released at fixed times each day. Document formats are primarily XLSX, with some editable PDF files. The document structure consists of multi-column tables, with fields including metallurgical coal origin identifier, daily carboard price, settled price, financing credit limit, financing term, trading entity name, and delivery warehouse location. Units are yuan/ton, 10,000 yuan, and calendar days respectively.
What constraints do these characteristics impose on the "document parsing and chunking" link
The daily high-frequency update requirement means the parsing process must support fast batch processing to avoid delays that disrupt subsequent knowledge base synchronization. The multi-column, multi-row table structure distributes the fields of each individual financing business across different columns of fixed rows. If chunking logic is not bound to row-level association, fields from the same business may be split across multiple chunks, or cross-business content may be merged into a single paragraph. Some documents have merged cell headers or remark rows, which can cause field misalignment during parsing. Parsing logic that retains table structure is therefore required. Additionally, financing businesses share associated attributes such as delivery warehouse and origin. Necessary contextual overlap must be retained during chunking to prevent broken associated information during retrieval.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_MODE | "Row-level chunking" mode | Metallurgical coal financing daily reports use multi-column tables, with each row corresponding to one independent financing business. Row-level chunking preserves complete fields for a single business. |
SEGMENT_CHUNK_SIZE | 800–1000 characters | The total field character count for a single financing business in these reports is approximately 600–900 characters. 800–1000 characters covers complete information for a single business and avoids splitting cross-business content. |
SEGMENT_OVERLAP_RATE | 15% | Financing businesses share associated fields such as multiple businesses under the same delivery warehouse. A 15% overlap preserves contextual association. |
UPLOAD_FILE_MAX_SIZE | 500 MB | Monthly collection files for a single metallurgical coal financing daily report typically do not exceed 300 MB, leaving reasonable buffer space. |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | When batch parsing multi-page table documents, single-file parsing time usually does not exceed 200 seconds. 300 seconds covers abnormal loading scenarios. |
AUTO_PARSE_TRIGGER | Only the currently uploaded file | Matches user needs to only parse the currently uploaded attachment, avoiding accidental inclusion of historical documents in the parsing scope. |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After uploading an XLSX format file, the knowledge base only returns scattered text fragments and cannot read table column content. Cause: The table parsing mode of
PARSE_TABLE_MODEis not enabled, and the default plain text parsing logic is used to process table files. - Phenomenon: After parsing, chunks contain multiple unrelated metallurgical coal financing businesses with disordered, misaligned fields. Cause: Row-level chunking mode is not enabled, and paragraph chunking logic is used to split table content, leading to cross-business content being merged into a single chunk.
- Phenomenon: Parsing tasks return status code
408 Request Timeoutand fail. Cause: Single-file parsing time exceeds the set value ofPARSE_FILE_TIMEOUT_SECONDS, or server resources are insufficient causing parsing delays.
How to confirm the configuration is correct
- Upload a single test XLSX file of the metallurgical coal financing daily report, enter the chunk preview page of the knowledge base, and confirm that each chunk corresponds to an independent financing business with no cross-business merging or field misalignment.
- Enter the FastGPT knowledge base settings page, and verify that the values of configuration items such as
PARSE_TABLE_MODEandSEGMENT_CHUNK_SIZEmatch the preset plan. - Upload batch test files, check the parsing logs in the task queue, and confirm that only the currently uploaded files are parsed, with no historical documents included in the parsing scope.
- Trigger a retrieval test, enter keywords including metallurgical coal origin and financing quota, and confirm that returned chunk content contains complete associated field information with no missing or misaligned content.
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.