What data for this category looks like
Reference only; verify against the target FastGPT release and deployment documentation.
What constraints these characteristics impose on the document parsing and chunking link
State-owned capital operation documents have diverse formats. Parsing tools must support multiple formats including PDF, Word, and Excel, and retain official document title hierarchies and table field information. A high share of documents are lengthy. Chunking must balance semantic completeness and retrieval accuracy. Avoid splitting too finely, which causes semantic fragmentation, or too coarsely, which leads to retrieval redundancy. Documents are dense with proper nouns. Chunking must retain contextual associations to prevent loss of meaning when specialized terms are split. Batch upload scenarios are common. The system must support resource allocation for parallel parsing of multiple files, to avoid task timeouts or interruptions.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the semantic length of most state-owned assets official documents, avoiding splitting key proper nouns and their contextual information |
chunkSplitter | Split by title + paragraph | Matches the title hierarchy structure of state-owned assets official documents, retaining the document's logical framework |
customPdfParse | Enabled | Targets PDF documents with official letterheads, retaining original formatting and key information such as headers and footers |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Adapts to the parsing time required for lengthy state-owned assets reports, avoiding task interruptions due to timeouts |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Supports uploading oversized documents such as large annual operation reports |
chunkSettingMode | Manual configuration | Allows flexible adjustment of chunking rules and parsing parameters for different types of state-owned assets documents |
Three common errors
- Scenario: When uploading large-sized state-owned capital operation PDF files, FastGPT reports a parsing timeout, but a third-party PDF parsing service returns success. Cause: The
PARSE_FILE_TIMEOUT_SECONDSvalue is set lower than the actual parsing time, and does not match the parsing requirements of large files. - Scenario: After batch uploading state-owned assets statistical Excel files, table content cannot be read. Cause: Parsing rules adapted to spreadsheet documents are not configured, or table field information is not retained during chunking.
- Scenario: When uploading a large number of state-owned assets annual reports, parsing is interrupted mid-process and cannot be recovered by restarting Docker. Cause: The
UPLOAD_FILE_MAX_SIZEsetting is insufficient, orPARSE_FILE_TIMEOUT_SECONDSis not adjusted to adapt to batch parallel parsing tasks.
How to confirm the configuration is set correctly
- Upload a single medium-length state-owned capital operation document, verify that the parsing progress completes normally with no abnormal error prompts.
- Upload a state-owned assets statistical file containing tables, verify that the parsing result includes structured content related to tables.
- Batch upload multiple state-owned assets documents of different formats, verify that there are no mid-process interruptions and all files complete parsing.
- Initiate targeted questions based on the parsed documents, verify that responses are linked to relevant expressions and content within the documents.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.