What the data for this category looks like
Data sources are public investment and financing disclosures and daily summaries from third-party industry databases. Documents update daily. Each daily report covers all medical device sector financing events for that day. Most documents are in PDF format, while some are published as Feishu online spreadsheets. Content is arranged line by line by financing event, with fields including enterprise name, financing round, financing amount (units include RMB ten thousand, USD hundred million), investor list, financing date, affiliated medical device segment, and some documents include investor background notes.
What constraints these characteristics impose on document parsing and chunking
The daily update requirement means the parsing process must support batch scheduled synchronization and quickly complete parsing of single documents. The mixed multi-field content structure requires accurate identification of amount units and association with corresponding financing events to avoid field misalignment. The table or line-by-line document format requires strict chunking by event boundaries, to avoid merging content from different financing events into the same chunk. Supplementary note text in some documents must be separated from main content, to prevent irrelevant information from mixing into business-related chunks. For daily reports in scanned document format, OCR recognition is required for text extraction, which increases parsing complexity.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | A single medical device financing daily report usually has no more than 50 pages, 300 seconds is sufficient for full parsing |
maxChunkSize | 800–1200 characters | Complete information for a single financing event usually ranges from 600 to 1000 characters, this interval ensures each chunk contains a complete event |
chunkOverlap | 100–150 characters | Avoid event information loss caused by chunk breakage, maintain context coherence |
UPLOAD_FILE_MAX_SIZE | 50 MB | A single daily report PDF usually does not exceed 20 MB, reserving sufficient space for batch upload scenarios |
ocr_mode | auto | Some daily reports use scanned document format, automatic mode can intelligently trigger OCR parsing |
enable_table_parse | Enabled | Most medical device financing daily reports use table formatting, enabling this option allows accurate extraction of cell fields |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: After uploading a PDF, the interface displays "Unable to read this file content". Cause: The document contains encrypted content or non-standard formatting, causing the parsing engine to fail to extract valid text.
- Symptom: After configuring the Feishu knowledge base, PPT and PDF files are not synchronized. Cause: The parsing switch for the corresponding file format is not enabled in the knowledge base configuration, or Feishu document permissions are not granted to the synchronization account.
- Symptom: After deploying the v2 version of marker, the parsing log shows the
ocr errorfield. Cause: The local OCR dependency library is not fully deployed, or the scanned document has blurry areas causing recognition failure.
How to confirm the configuration is complete
- Upload a standard medical device financing daily report document, check the chunked content in the parsing preview, and confirm that each chunk contains complete information for a single financing event.
- Enter the knowledge base configuration page, and check that parsing-related parameters match the preset configuration.
- Trigger the knowledge base synchronization task, and check whether the synchronization log includes synchronization records for the target format files.
- View the parsing service log, and confirm there are no error records of
ocr errororUnable to read file.
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.