Reference only; verify against the target FastGPT release and deployment documentation.
What This Category of Data Looks Like
State-owned asset management company document data mainly originates from state-owned asset supervision approval documents, internal asset ledgers, asset evaluation reports, equity transfer agreements, and similar materials. Update cycles are split into fixed schedule and temporary trigger. Fixed updates include quarterly asset inventory reports and annual business review documents. Temporary updates accompany matters such as equity transfers and asset disposals. Documents have three structural types: structured tables, long paragraphs of approval text, and detailed lists. Fields include state-owned asset supervision number, original asset value, evaluated net value, shareholding ratio, and similar items. Common units are ten thousand yuan, number of shares, and percentage.
Constraints Imposed by These Characteristics on Document Parsing and Chunking
Documents with a high proportion of structured tables require the parsing process to fully preserve cell correspondence and field associations, to avoid disconnecting fields from values after chunking. Long text content from long paragraphs of approval documents and evaluation reports requires matching a reasonable chunk length to prevent disruption of professional expression logic. High-frequency temporary upload requirements require the parsing process to support configurable timeout thresholds, to prevent interruptions during large file parsing. The presence of specific state-owned asset fields and units requires retaining contextual associations between adjacent fields during chunking, to ensure semantic integrity during retrieval.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the professional expression length of long approval paragraphs and asset evaluation reports, avoiding semantic fragmentation |
chunkSplitter | Split by paragraph and semantic context | Supports mixed document structures containing tables and long text, preserving field associations |
customPdfParse | Enable structured table parsing | Targets PDF tables from asset ledgers and equity lists, fully extracting cell correspondence relationships |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapts to upload requirements for single large asset evaluation reports, preventing file blocking |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Matches parsing time for large documents, preventing timeout interruptions for temporary upload tasks |
chunkSettingMode | Manual configuration | Enables flexible adjustment of chunking rules for special fields and structures of state-owned asset documents, adapting to business needs |
Three Common Misconfigurations
- Symptom: Imported Excel table datasets in the knowledge base fail to display complete table content in search results. Cause: The structured table retention mode is not enabled in the chunking configuration, causing table content to be split into plain text fragments and losing row and column correspondence.
- Symptom: Garbled Chinese characters appear after parsing scanned state-owned asset evaluation reports. Cause: OCR parsing mode for Chinese scanned documents is not enabled, leading to distorted character recognition.
- Symptom: Parsing timeout errors are triggered after uploading a single large state-owned asset file. Cause: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration value is too low, not matching the actual parsing time of large documents.
How to Confirm Proper Configuration
- A state-owned asset ledger PDF containing structured tables may be uploaded, and the parsed text can be checked to confirm retention of row and column correspondence.
- A single large asset evaluation report under 500 MB may be uploaded, and the parsing task can be checked to confirm no timeout errors are triggered.
- Chunked text fragments may be tested, and adjacent state-owned asset fields and values can be checked to confirm they are included in the same chunk.
- A scanned state-owned asset approval document may be uploaded, and the parsed text can be checked to confirm no obvious garbled characters are present.
The values provided here are common starting points and should be evaluated against samples relevant to the actual usage scenario.
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.