What the data for this category looks like
Data sources include structured reports exported from e-commerce platform backends, third-party industry research PDF files, public product pages and review documents from competing stores, and monthly reconciliation documents from supply chain partners. Update frequencies cover real-time sales fluctuations, weekly competitor tracking, and monthly industry trend reports. Document structures include structured tables with SKU codes and sales volume fields, Word documents of research reports with charts, and plain-text competitor analysis notes. Fields include GMV, visitor count, conversion rate, and supply price. Units include yuan, visits, percentage, and yuan per item.
What constraints these characteristics impose on document parsing and chunking
The multi-field nature of structured reports requires preserving the correspondence between fields and numerical values during parsing, to avoid field misalignment after chunking. High-frequency updates of real-time sales data require the parsing process to have low latency, to avoid data lag. Documents with large numbers of SKU codes require retaining the contextual binding between SKUs and surrounding business descriptions during chunking, to prevent inability to associate corresponding data during investment research. Documents containing product images and review screenshots need to extract the original reference paths of images, to avoid image loading failures during subsequent knowledge base calls. Long-text research reports need to be split according to chapter logic, to ensure the integrity of investment research logic.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | E-commerce documents often contain multi-page structured reports and long-text research reports. 120 seconds covers standard parsing durations and avoids timeout interruptions |
chunk_size | 800–1200 characters | E-commerce documents include short contextual units such as SKU codes and business descriptions. This range preserves the complete business logic of a single SKU while controlling the number of chunks |
chunk_overlap | 100–150 characters | E-commerce data has strong field correlations. The overlapping interval ensures that fields and business descriptions across chunks are not split apart |
UPLOAD_FILE_MAX_SIZE | 500 MB | E-commerce supply chain documents often include bulk SKU reports and high-definition product images. This upper limit covers standard bulk upload requirements |
parse_image_capture | Preserve original reference paths | Product images and review screenshots in e-commerce documents need to retain the original domain name to ensure normal loading during knowledge base calls. If using a third-party parsing tool, directly adapt the corresponding API to obtain more accurate image path extraction results |
enable_structured_table_parse | Enabled | E-commerce structured reports contain multi-field business data. Enabling this setting preserves the correspondence between table fields and numerical values, avoiding data misalignment after parsing |
The parameter values provided on this page are standard 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. It is recommended to perform testing on samples prior to finalizing configuration settings.
Three Common Mistakes
- Symptom: When importing a Word document with images that have custom domain names, after converting to Markdown format and importing into the knowledge base, the domain name field of the image link is empty. Cause: The image original path retention configuration is not enabled. The parsing process defaults to replacing links with relative paths and does not retain the custom domain name from upload.
- Symptom: When accessing the system login page from a local area network device, an
ERR_INCOMPerror is returned, and a connection cannot be established. Cause: The listening address configured during deployment only binds the local loopback address, without configuring a LAN-accessible listening address. This prevents external devices from accessing the system. - Symptom: When importing a long-text e-commerce research report, the system prompts that the chunk length exceeds the limit and parsing cannot be completed. Cause: The
chunk_sizeconfiguration parameter is not adjusted. The default chunk length cannot accommodate complete chapters of e-commerce long-text research reports.
How to Verify Proper Configuration
- Upload a test document containing structured reports and product images, check the parsed chunk content to confirm that SKU codes and corresponding business descriptions are not split into different chunks.
- Check the parsing logs to confirm that image links retain the custom domain name configured during upload, and have not been replaced with relative paths.
- Attempt to upload a test document of the maximum single-file size, confirm that the parsing process does not trigger a timeout error.
- Check the deployment configuration to confirm that the listening address covers the LAN network segment, ensuring that external devices can access the system page normally.
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.