What this category’s data looks like
Hotel and catering industry research report data mainly comes from chain brand public operational data, third-party catering industry research institute reports, quarterly financial reports of listed catering enterprises, and statistical materials from local catering associations. The update cycle takes quarterly financial reports as the core cycle. Industry dynamic reports are updated monthly or weekly. Document structures include modules such as store revenue details, per-store area efficiency, ingredient cost proportion, regional passenger flow trends, and more. Core fields include area efficiency (yuan/square meter/day), customer unit price (yuan/person), table turnover rate (times/day), ingredient procurement cost (yuan/kg), and others. Some documents embed in-store photos and regional passenger flow heatmaps.
What constraints these characteristics impose on the document parsing and chunking link
Hotel and catering industry research reports have a high proportion of structured tables, and there are slight differences in field units within tables. The parsing link must fully retain row and column structures and unit labels, and avoid splitting cross-page tables which would break indicator context. Some research reports include scanned store operation reports, so OCR recognition for text extraction must be supported. Frequently updated document batches create demand for batch parsing, so parsing efficiency for large-volume multi-page documents must be adapted. In addition, field names for research reports from different sources are inconsistent. For example, some documents use "revenue per unit area" instead of "area efficiency". Parsed results must retain original field information for subsequent normalization processing. Chunking must avoid cutting the association between indicators and their corresponding descriptions.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Adapts to the context coherence requirements of structured tables and long-text analysis in hotel and catering industry research reports, and avoids splitting cross-page tables or key indicator paragraphs |
chunk_overlap | 150–200 characters | Retains indicator association information across chunks, such as preceding and following descriptions and calculation logic for area efficiency data |
PARSE_TABLE_ENABLE | Enabled | Hotel and catering industry research reports contain a large number of structured revenue and cost tables. Enabling this option fully extracts fields and units within tables |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapts to the demand for batch uploading of quarterly industry research reports and single-store operation documents, and supports parsing of single large-volume PDF files |
PARSE_TIMEOUT_SECONDS | 300 seconds | Prevents parsing timeouts for large-volume multi-table documents, and ensures execution stability for batch tasks |
The parameter values provided on this page are common recommendations used as a starting point 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: A "file parsing failed" error code 400 is returned when calling the document parsing tool. Cause: The uploaded PDF contains encrypted store operation reports, and decryption has not been performed in advance or automatic decryption parameters have not been configured.
- Phenomenon: Some PDFs cannot be recognized in the knowledge base. Cause: The PDF is in scanned format, and OCR parsing configuration has not been enabled, so text content embedded in images cannot be extracted.
- Phenomenon: Key indicator fields are empty after chunking. Cause: Structured table parsing configuration has not been enabled, so fields such as customer unit price and table turnover rate within tables are not fully extracted, and only plain text paragraphs are retained.
How to confirm the configuration is correct
- Upload a single hotel and catering industry research report PDF containing structured tables. Check if the parsed text retains table row and column structures and unit labels, to confirm that the
PARSE_TABLE_ENABLEconfiguration is effective. - Upload an encrypted hotel and catering industry research report PDF. Check if the corresponding error prompt is triggered or decryption parsing is completed automatically, to confirm that the encrypted file processing logic is normal.
- Adjust the
chunk_sizeparameter to a low value, upload a research report containing cross-page tables, and check if the chunking result does not split complete single-page tables, to confirm that the context coherence configuration is effective. - Batch upload more than 10 hotel and catering industry research report documents from different sources. Check parsing success rate and chunking completeness, to confirm that batch parsing configuration meets business requirements.
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.