What data for this category looks like
Data sources for small home appliance-related documents include brand official product manuals (PDF format), e-commerce platform product detail pages (HTML format), quality inspection compliance reports (DOCX format), marketing promotional materials, after-sales maintenance documents, and more. Update schedules align with new product launches and marketing campaign adjustments, with no fixed cycle. Single update volumes range from one page to dozens of pages. Document structures include four types of content: parameter comparison tables, usage instruction paragraphs, marketing selling point copy, and compliance statements. Most fields have clear physical units, such as rated power, product dimensions, battery life, and rated voltage, with corresponding units including W, mm, h, and V.
What constraints do these characteristics impose on the document parsing and chunking link?
Mixed-format data sources require the parsing engine to support multiple file types such as PDF, HTML, and DOCX to avoid parsing failures for some formats. Unstable update schedules require flexible switching between incremental parsing and batch parsing to adapt to content with different update frequencies. A large number of parameter fields with units exist in documents. Chunking must retain the binding relationship between fields and their units to prevent information loss after parsing. The mixed structure of marketing materials and technical documents requires chunking granularity to adapt to different length needs of short copy and long instructions, while retaining contextual relevance. Parameter comparison tables in e-commerce detail pages require parsing to retain table structures and cell correspondence to avoid information chaos caused by flat extraction.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Enable PDF Enhanced Parsing | Check to enable | Most small home appliance product manuals are complexly formatted PDFs with charts. Enhanced parsing retains table and parameter structures |
Chunk Length | 800–1200 characters | Small home appliance documents include short marketing copy and long usage instructions. This range balances contextual completeness for both content types |
Chunk Overlap | 100–150 characters | Parameter content requires retaining front-back unit associations to prevent chunking from breaking the binding relationship between fields and units |
Enable Table Multi-Vector Support | Check to enable | A large number of parameter comparison tables exist in small home appliance marketing materials. Multi-vector support improves recall accuracy for table content |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Batch parsing of small home appliances may include multi-page PDFs and mixed Excel documents. This duration covers standard parsing times |
api_parse_auto_format | Automatically adapt to document format | Small home appliance data sources include multiple formats such as e-commerce detail page HTML, brand official website PDFs, Feishu multi-dimensional tables, etc. Automatic adaptation reduces configuration costs |
The parameter values provided on this page are common recommended starting points for determining configurations. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: In parsed small home appliance parameter documents, tables only display unformatted plain text, and cannot distinguish the cell ownership of different parameters. Cause: The
Enable Table Multi-Vector Supportconfiguration is not enabled. Only flat text from tables is extracted, and the correspondence between fields and content is not retained. - Symptom: In local deployment environments, the
Enable PDF Enhanced Parsingoption appears grayed out and cannot be checked, or parsing results do not change after checking. Cause: The minerU dependency is not installed and configured, causing the enhanced parsing function to not load or take effect. - Symptom: In parsed chunked content, parameters and units are separated. For example, "rated power" only retains the value "1000" and loses the "W" unit. Cause: The
Chunk Overlapvalue is too small, failing to cover the adjacent chunk boundary where the parameter and unit are located, causing the unit to be assigned to the next chunk or lost.
How to confirm correct configuration
- Engineers access the settings page of the target knowledge base and check whether the
Enable PDF Enhanced ParsingandEnable Table Multi-Vector Supportoptions are enabled. - Engineers upload a small home appliance product PDF manual, wait for parsing to complete, and check whether the chunk preview retains the table’s cell structure and parameter units.
- Engineers call the knowledge base parsing API with a Feishu multi-dimensional table link, and confirm the returned chunked results include the multi-dimensional table’s structured fields and content.
- Engineers review the system parsing logs to confirm no timeout errors related to
PARSE_FILE_TIMEOUT_SECONDSare triggered, and parsing time meets expected levels.
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.