What This Category’s Data Looks Like
Snack food investment research data comes from broker food and beverage industry reports, listed companies’ annual and semi-annual reports, industry association supply chain monitoring documents, and e-commerce platform brand sales review documents. Update frequency varies by document type. Listed company reports are updated quarterly and annually. Broker reports are released during earnings seasons and industry milestones. Industry association documents are updated monthly. E-commerce review documents are updated alongside sales cycles. Documents fall into three categories: multi-page text analysis chapters, structured tables with nested multi-level headers, and pure text supply chain ledgers. Fields include shipment volume, unit cost, terminal selling price, channel share, and raw material purchase price. Corresponding units are tons, yuan per kilogram, yuan per box, and yuan per ton.
Constraints on Document Parsing and Chunking
Mixed document formats across sources include editable PDFs, scanned files, structured tables, and pure text ledgers. Parsing engines must support both native text extraction and OCR recognition. Structured tables contain nested multi-level headers and multi-SKU data. Chunking must retain full table structure and avoid splitting table content across pages. Data dimensions cover supply chain, sales, cost and other categories. Chunking must aggregate content by business dimension, and avoid destroying data logic by only cutting based on fixed character length. Frequently updated batch documents require parsing processes with configurable timeout thresholds and batch processing capabilities. This avoids single-file parsing timeouts disrupting overall progress.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Snack food investment research documents include long text analysis and structured tables. This range balances context completeness and recall accuracy |
chunkOverlap | 100–150 characters | Prevents chunking from splitting proper nouns such as brand names, SKU models, and logically related data across chunks |
enable_ocr | Enabled | Some industry reports are scanned PDFs. OCR is required to extract native text and table content |
table_vector_support | Enabled | Many structured tables containing SKU cost and sales data exist in snack food investment research documents. Enabling this setting allows tables to be converted for vector storage |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Prevents task failure due to insufficient parsing time when batch parsing large annual reports or multi-page research reports |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports uploading batches of industry research report collections and corporate annual report files, adapting to batch investment research data processing |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on the user’s own samples before finalizing settings.
Three Common Mistakes
- Issue: Table content is not converted to vector storage after knowledge base parsing. Cause: The
table_vector_supportconfiguration item is not enabled. Basic parsing alone cannot generate table vector structures. - Issue: The enhanced PDF parsing toggle cannot be found in plugin configurations. Cause: MinerU-related parsing plugin permissions are not enabled in system settings. This causes the corresponding configuration item to not display in the front-end interface.
- Issue: Only a small amount of header and footer text is extracted after parsing scanned industry research reports. Cause: The
enable_ocrconfiguration item is not enabled. OCR text extraction cannot be performed, so only a small amount of editable text from native PDFs can be extracted.
How to Confirm Configurations Are Properly Set
- Upload a snack food SKU cost document containing structured tables. Verify that the parsed result includes complete table content and corresponding vector storage entries.
- Upload a scanned industry research report. Verify that the parsed result covers full body text and table content. Only covering header and footer content does not meet requirements.
- Submit batch documents for parsing. Verify that parsing tasks complete without timeout-related errors.
- In the knowledge base settings interface, confirm that the
enable_ocrandtable_vector_supportconfiguration toggles are enabled.
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.