What the data for this category looks like
Data sources include third-party industry information platforms, local financial regulatory financing announcements, and temporary announcements from listed companies. The update cycle is daily for single-period reports, with monthly aggregation of all financing events for the full month to create annual reports. Most documents use table formatting. A single daily report contains dozens of financing entries, while monthly summary documents have a larger total number of entries. Core fields include full company name, financing round, financing amount, investor entity, disclosure date, and application scenario (such as packaging ink, anti-corrosion coating). Financing amount units are primarily ten thousand yuan and hundred million yuan, and some entries include relevant explanations for completed financing.
What constraints these characteristics impose on document parsing and chunking
Single-period daily reports, updated daily, have dense entries. A single document may contain dozens of financing entries. When chunking, retain context between entries to avoid splitting cross-entry content, which would disrupt financing event information. Financing amounts use a mix of ten thousand yuan and hundred million yuan units. During parsing, match unit fields and associate them with corresponding entries to avoid unit ambiguity in subsequent retrieval. Some documents include application scenarios as detailed tags, which must be bound to the main financing entry. Tags must not be separated from their corresponding events during chunking. Monthly summary documents use different table formats than single-period daily reports. Parsing components must support both table structures to avoid missed entries from failed format recognition.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Financing daily reports mostly use table structures; retaining table parsing allows complete extraction of core information for each financing event |
CHUNK_MAX_SIZE | 800–1000 characters | A single financing entry plus associated context is approximately 500–800 characters; reserving reasonable space avoids splitting critical information |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Monthly summary documents may contain hundreds of financing entries; sufficient time is required for full parsing and chunking |
ENABLE_CHUNK_OVERLAP | Enabled | Financing entries have associated logic; overlapping chunks preserve cross-entry context and improve retrieval coherence |
TABLE_EXTRACT_FIELD_MAPPING | Calibrated based on actual testing | Table column order varies across different source daily reports; core fields such as company name, financing amount, and investor must be matched |
UPLOAD_FILE_MAX_SIZE | 500 MB | Packaged documents of multiple daily reports for monthly summaries may reach hundreds of megabytes; adapts to batch upload file size requirements |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Phenomenon: After parsing docx-format financing daily reports, irrelevant header and footer information appears in RAG retrieval results. Cause: The
PARSE_HEADER_FOOTER_REMOVEparameter was not disabled, so non-body content was retained and included in chunked segments. - Phenomenon: When deploying
Qwen3-14BusingVllm 0.10, financing amount fields cannot be extracted from PDF parsing results. Cause: This version of Vllm has limitations in adapting to structured PDF field extraction; preprocessing logic for parsed text must be adjusted, or a compatible version must be switched. - Phenomenon: In a server deployment environment, after uploading a file, the document parsing node returns a 404 error. Cause: File storage directory permissions on the server side were not configured correctly, or the front-end upload path does not match the file read path of the back-end parsing node.
How to Verify Proper Configuration
- Upload a single single-period financing daily report document, confirm that the parsed text extracts all financing entries completely, with no residual irrelevant headers or footers.
- Trigger RAG retrieval, verify that the retrieval results bind the application scenario and investor information corresponding to the financing event, with no missing core fields.
- Upload a monthly summary document, confirm that parsing time does not exceed the preset timeout threshold, and no table entries are missed.
- Switch test files in PDF and docx formats, verify the consistency and completeness of parsing results.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.