What data from this category looks like
The business-related data of state-owned capital operation companies mainly comes from reports submitted by state-owned assets supervision and administration departments, internal group process approval archives, and official documents for equity operations and capital operations. Data is updated via regular monthly submissions, with immediate updates for major capital operation matters. Most documents are fixed-format PDF approval forms, Word process description documents, and Excel business ledgers. These documents include fields such as approval nodes, responsible entities, processing time limits, and material lists. Units used are typically concrete business units such as working days and ten thousand yuan.
What constraints these characteristics impose on the document parsing and chunking link
Fixed-format approval forms and ledgers contain merged cells and nested tables. Standard parsing tools often lose the correspondence between fields and business nodes. Differences in document formats across multiple sources require the parsing link to support multiple file types, to avoid content misalignment caused by format conversion. Key fields such as processing time limits and responsible entities in business documents must be accurately extracted. The association between fields and corresponding business nodes must be retained during chunking. High-frequency real-time updates require the parsing link to have fast processing capabilities, to avoid delaying the timeliness of business process guidance due to timeouts.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Business documents of state-owned capital operation companies mostly contain continuous process node descriptions. This range can retain the complete logic of a single node and avoid interrupting the approval process description during chunking |
chunkSplitter | Split by paragraph + title | Business documents have clear process titles and node paragraphs. Splitting this way can retain the integrity of business logic and avoid chunking across nodes |
customPdfParse | Enable table structured parsing | Approval forms of state-owned capital operation companies are mostly PDF tables with merged cells. Enabling this can accurately extract fields and corresponding content and avoid content misalignment |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some capital operation documents contain multi-page attachments. This upper limit can meet the upload needs of large documents and avoid failure to parse due to oversized files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large ledger documents requires sufficient time. This duration can cover the parsing process of conventional large documents and avoid mid-parsing timeout failures |
chunkSettingMode | Manual configuration | Business documents have fixed formats. Manual configuration can accurately match field extraction and chunking rules, adapting to the exclusive document structure of state-owned capital operation companies |
Three Common Mistakes
- Phenomenon: After uploading an Excel business ledger, the correspondence between approval nodes and responsible entities is chaotic in search results. Cause: Table structured parsing is not enabled. The default parsing logic cannot recognize merged cells and nested tables, resulting in lost field associations.
- Phenomenon: After chunking, search results show content spliced across approval nodes, making it impossible to accurately locate a single process link. Cause: The chunking splitting basis is not clearly defined, and the token count is mistakenly used as the chunking unit, resulting in forced truncation of process nodes.
- Phenomenon: After uploading a PDF-format approval form, the processing time limit field is not correctly extracted. Cause: The
customPdfParseconfiguration is not enabled. The default parsing logic cannot recognize fixed-format form fields, resulting in missing key business information.
How to Confirm the Configuration Is Correct
- Upload a typical Excel business ledger, check the parsed field list, and confirm that key fields such as approval nodes and responsible entities are correctly extracted.
- Adjust the
chunkSizeconfiguration, check the chunking preview interface, and confirm that each chunk contains a complete single process node without cross-node splicing. - Upload the largest-sized business document, confirm that the upload progress is normal and parsing does not time out, and check that there are no format error prompts in the parsing log.
- Test searching for keywords of a specific approval node, confirm that the search results only contain content from the corresponding node, with no unrelated fields mixed in.
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.