What This Type of Data Looks Like
This type of data draws from public investment and financing disclosure platforms, education sector industry databases, and financing filing documents submitted by institutions. Updates occur on a daily basis, covering all financing information released in the education service sector on the same day. Three document formats are supported: PDF announcements, Excel summary tables, and structured web tables. Core fields include financing party name, affiliated education sector, financing amount, financing round, investor list, and disclosure date. Financing amount units are primarily ten thousand yuan or hundred million yuan. Financing rounds use standard venture capital terminology. Disclosure dates follow the YYYY-MM-DD format.
Constraints Imposed by These Characteristics on Document Parsing and Chunking
Multi-format data sources require the parsing process to support PDF, Excel, and web formats, to avoid loss of structured data due to format adaptation issues. Daily update timelines require parsing tasks to complete within a short timeframe, to avoid delays affecting synchronous updates of daily reports. Documents use structured tables as their core carrier. Merged cells spanning rows or columns and fixed field order require the chunking process to retain row and column association relationships of data, and prevent random splitting of complete information for a single financing project. Standardized field attributes require content to be aggregated by field groups during chunking, to avoid dispersing different fields of the same project across multiple chunks.
Configuration Settings
| Configuration Item | Recommended Setting | Basis for This Setting |
|---|---|---|
PARSE_TABLE_MODE | Smart table parsing + row-column alignment | Core data of education service financing daily reports is stored in structured tables. This mode preserves merged cells and row-column association relationships |
MAX_SEGMENT_LENGTH | 800–1000 characters | Complete information for a single financing project is approximately 300–600 characters. Reserved context association space avoids splitting critical information |
PARSE_FILE_TIMEOUT_SECONDS | 60 seconds | A single education service financing daily report file is usually no larger than 5 MB. 60 seconds covers the full parsing and chunking process |
ENABLE_TABLE_CHUNK | Enabled | Table data must be retained as an independent chunk, to avoid disruption of structured table logic by plain text chunking |
RECALL_FIELD_PRIORITY | Sorted as "Financing Party Name > Financing Amount > Financing Round" | Users prioritize core financing information during retrieval. This configuration adjusts the display order of recall results |
UPLOAD_FILE_MAX_SIZE | 10 MB | The summary file for a single education service financing daily report has a maximum size of 5 MB. 10 MB reserves reasonable redundant space |
The parameter values provided on this page are common recommended starting points for defining configurations. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. Testing on self-provided samples is recommended before finalizing settings.
Three Common Misconfigurations
- Phenomenon: When OCR is used to parse the PDF version of education service financing daily reports, Chinese garbled characters appear. Some institution names and sector names are displayed as garbled characters. Cause: The Chinese language pack for OCR recognition is not configured. The default recognition engine only supports English text, and cannot correctly parse Chinese proper nouns.
- Phenomenon: After an Excel-format financing daily report is imported, the table previewed in the knowledge base does not match the row and column correspondence of the original file. Some financing project information spanning rows is split. Cause: Smart table parsing mode is not enabled. The default plain text parsing logic cannot recognize merged cells and row-column association relationships in Excel.
- Phenomenon: When financing daily report content is retrieved, the recall priority of auxiliary data such as investor lists is higher than core information such as financing amount and financing round. Cause: Field-level recall priority is not configured. The system defaults to recalling based on the text order of chunks, and does not distinguish the importance hierarchy of data.
How to Confirm Successful Configuration
- A sample file of an education service financing daily report is uploaded, and the parsed text preview is checked to confirm that Chinese text has no garbled characters and the table structure matches the original file.
- The chunking operation is triggered, and the chunk list is reviewed to confirm that each chunk contains complete information for a single financing project. No situation where different fields of the same project are split across different chunks is observed.
- A retrieval test is initiated, with keywords for target sectors or rounds entered, to confirm that the sorting of recall results follows the preset field priority rules.
- The running logs of parsing tasks are reviewed to confirm that no timeout errors occur and parsing time meets the expected configuration.
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.