What this category of data looks like
Data for this category originates from investment supervision systems for state-owned asset oversight, enterprise ERP and project management systems, industry market data, audit and financial statements. The update frequency is quarterly. Commonly processed documents include annual investment plans, project proposals, feasibility study reports, due diligence reports, asset evaluation reports, and post-investment evaluation reports. These documents cover business workflows for central enterprise strategic investment departments, project companies, state-owned asset supervision departments, and external consulting and evaluation institutions. Most documents contain multi-chapter structured content and multi-dimensional quantitative data fields.
What constraints these characteristics impose on document parsing and chunking
Data sources for this category are scattered and have diverse formats. They include structured tables exported from systems, multi-chapter PDF and Word reports. This places requirements on the format adaptation capabilities of parsing tools. The quarterly batch update business rhythm requires that single-file parsing duration fits within the business processing window to avoid timeout interruptions. Documents contain multi-dimensional quantitative fields and coherent business logic chapters. During chunking, context association must be preserved to prevent splitting from destroying the integrity of core content such as technical, financial, and risk-related materials. It is also necessary to adapt to structural differences across different documents, avoiding key information breaks caused by uniform chunking rules.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the multi-chapter and quantitative field structure of documents in this category, avoiding splitting core business paragraphs |
chunkSplitter | Segment by heading | Matches the multi-chapter structure of documents, preserving coherence of business logic related to technology, finance, and risk |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Meets parsing time requirements for large batch feasibility study reports and post-investment evaluation reports |
customPdfParse | Enabled | Adapts to complex typesetting and embedded table content of PDF reports in this category |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Meets upload requirements for large asset evaluation reports and post-evaluation reports |
chunkSettingMode | Manual configuration | Adjust chunking rules for different document types such as annual investment plans and due diligence reports |
Three Common Mistakes
- Phenomenon: After uploading a large feasibility study report, the system prompts that the number of chunks exceeds the limit, and complete content cannot be retrieved during search. Cause: The
chunkSizeparameter was not adjusted based on document size. The number of chunks per single file exceeds the system default limit, and no adjustment was made via parameter tuning or file splitting. - Phenomenon: Boolean fields parsed during the workflow become empty values after being processed by conditional judgment components. Cause: Correct parameter type verification rules were not configured. The serialized format of the boolean value does not match the component's expectations, causing the field to be incorrectly judged as empty.
- Phenomenon: When batch processing quarterly updated documents, some large post-investment evaluation reports fail parsing due to timeout. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. The default timeout duration is insufficient to complete full parsing of complex reports.
How to Verify Proper Configuration
- Upload a single typical document, such as a single feasibility study report. Check the chunk count and content integrity in the chunk preview interface. Confirm that chunking does not disrupt the logical coherence of core chapters.
- Batch upload quarterly updated documents from the same batch. Check the completion status of parsing tasks. Confirm there are no exceptions such as batch timeouts or parsing failures.
- Search for preset business keywords, such as "project investment benefit" and "due diligence conclusion". Verify the relevance and coverage of retrieval results. Confirm they meet business query requirements.
- Adjust chunking parameters. Compare chunking results across different configurations. Confirm adaptation to the document type characteristics currently being processed.
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.