What data in this category looks like
This category of data typically originates from internal operation and maintenance historical traffic data, service topology records, monitoring metric reports, and business growth planning documents. Commonly processed documents include technical proposal texts, architecture topology metadata, capacity assessment quantitative reports, and technical review minutes. Data update frequency aligns with monthly iterations or major business requirement changes. Document structures include structured metadata, unstructured review text, and quantitative indicator fields. No unified fixed single-document size or field format exists.
What constraints these characteristics impose on the document parsing and chunking link
Documents mix structured metadata and unstructured text. Chunking must avoid breaking the associated logic of architecture topologies and the contextual integrity of review comments. The non-fixed update frequency requires the parsing process to adapt to both full update and incremental update scenarios, avoiding repeated parsing of unchanged content. Differences in fields across multiple document types mean parsing and chunking rules must be adjusted separately for technical proposals, capacity assessments, and review minutes. A single unified chunking parameter cannot cover all scenarios.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the paragraph length of technical proposals and the granularity of capacity assessment quantitative indicators, avoiding splitting critical architecture logic |
chunkSplitter | Split by semantic paragraphs | Matches the contextual association of technical review minutes, preserving the complete logic of review comments |
customPdfParse | Enable built-in PDF parser | Adapts to metadata extraction for architecture diagrams, avoiding loss of topology structure information from external parsers |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Accommodates large single technical proposal documents, adapting to full document uploads for monthly updates |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Prevents parsing timeouts for large architecture review minutes, matching processing durations for complex documents |
chunkSettingMode | Manual configuration | Adjusts chunking parameters for different types of architecture documents, adapting to the diversity of category data |
Three common configuration mistakes
- Uploaded file parsing returns a 413 error, indicating the file exceeds the limit. This occurs when
UPLOAD_FILE_MAX_SIZEis not configured correctly, and does not match the actual size of a single technical proposal document. - CSV table data only imports the first two columns. This happens when correct parsing rules are not configured for structured tables in technical review minutes. The default parsing logic does not adapt to multi-column review fields.
- Model output content is truncated, and cannot fully display architecture solution logic. This is caused by an overly small
chunkSizeconfiguration, which splits critical cross-service boundary descriptions.
How to confirm configurations are properly set
- Upload a single maximum-specification technical proposal document. Check that parsing completes within the limit set by the
PARSE_FILE_TIMEOUT_SECONDSconfiguration item for FastGPT v4.17.0. - Import CSV-format review minutes with multiple columns. Verify that all column data is correctly parsed and associated with corresponding chunks.
- Adjust the
chunkSizeparameter, extract chunking results, and confirm that architecture diagram metadata and review comments are not split. - Verify that after
customPdfParseis enabled, PDF-format architecture diagrams retain retrievable metadata for their topology structures.
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 2026-10-19.