What the data for this category looks like
Data sources for cosmetics funding daily reports include official brand funding announcements, third-party beauty industry databases, securities firm beauty sector research reports, and financial media coverage. Updates run on a daily schedule, covering same-day and last 7 business days of beauty brand funding updates. Most document formats are semi-structured, containing fields such as funded brand name, affiliated beauty category (e.g., skincare, makeup), funding amount, investors, funding round, and release date. Amount units are primarily ten thousand yuan or hundred million yuan, and dates use the YYYY-MM-DD standard format.
What constraints do these characteristics impose on document parsing and chunking?
Diverse data sources lead to inconsistent document formats. These include PDF-format official announcement tables and plain text lists on web pages, so multi-format parsing logic must be supported. Daily incremental data volume fluctuates greatly, so efficient incremental parsing and chunking are needed to avoid batch task timeouts. Binding relationships of structured fields must be strictly preserved. Key information such as brand name, amount, and funding round for the same funding entry must not be split into different chunks, otherwise subsequent semantic recall and associated analysis will be affected. Subdivision labels for beauty categories must be bound to funding entities. This associated information must be retained during chunking to avoid mismatches between categories and entities during subsequent recall.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | A single entry in the cosmetics funding daily report contains multiple associated fields. This range preserves the complete semantics of a single funding entry and avoids overly long chunks that reduce recall efficiency |
chunk_overlap | 100–150 characters | Cross-chunk field associations require contextual continuity. This value preserves front and rear associations of core information such as funders and funding rounds |
PARSE_FILE_TIMEOUT_SECONDS | 60 seconds | Most cosmetics funding daily report documents are small files under 10MB. This timeout setting avoids parsing delays caused by diverse document formats |
DEFAULT_SEPARATOR | \n\n, ，, 。 | Adapts to common line breaks, commas, and period separators in daily report documents, improving chunking accuracy for multi-format documents |
ENABLE_STRUCTURED_PARSE | Enabled | Preserves binding relationships of structured fields such as funders and beauty categories, avoiding damage to field associations during chunking |
PARSE_WEB_CONTENT_TIMEOUT | Calibrated based on actual testing | Adapts to loading speeds of different web pages, avoiding content capture failures caused by anti-crawling mechanisms |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: When documents processed with local chunking tools are uploaded to the server and used with different vector models, key fields are missing or semantic breaks occur. Cause: Contextual binding of structured fields was not preserved during chunking. Differences in chunking thresholds across models cause single funding information to be split into multiple chunks.
- Phenomenon: Chunked content displayed in the knowledge base has normal formatting, but context references do not render as Markdown format, only showing raw text. Cause: The
ENABLE_MARKDOWN_RENDERconfiguration is not enabled, or original document format markers were not retained during chunking. - Phenomenon: In version v4.8.13, passing a web link for a cosmetics funding daily report fails to extract valid content, only returning empty results. Cause: The web page's anti-crawling mechanism is not adapted, or the
PARSE_WEB_CONTENT_TIMEOUTparameter is set too short, causing content capture to time out.
How to confirm the configuration is properly set
- Upload a single structured document from the cosmetics funding daily report, check the chunking preview interface, and confirm that all core fields of a single funding entry are not split into different chunks.
- Enable context reference testing, check if the returned content format matches the original document's format. If not, adjust the
ENABLE_MARKDOWN_RENDERconfiguration. - Pass a public web link for a cosmetics funding daily report, confirm that core fields such as funder and funding amount can be extracted after parsing. If not, check the
PARSE_WEB_CONTENT_TIMEOUTand anti-crawling adaptation configurations. - Upload a batch of daily report documents, check the completion rate of parsing tasks, and confirm that no batch timeouts or parsing failures occur.
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.