What the Data for This Category Looks Like
Hotel and catering investment research data comes from store PMS systems, catering POS terminals, supply chain purchase ledgers, public reports from regional industry associations, and third-party consumer monitoring data. Update frequencies:
- Single-store daily operational data is updated daily
- Supply chain purchase data is updated weekly or monthly
- Industry trend reports are updated quarterly or semi-annually
Document structures:
- Single-store operation reports include fields such as store ID, statistical date, total revenue, average customer spending, and table turnover rate
- Supply chain documents include fields such as ingredient SKU, purchase unit price, supplier information, and delivery cycle
- Industry reports are mostly long-form text, including analysis content such as regional catering consumption share and category growth rate
Field units:
- Average customer spending is measured in yuan per customer
- Table turnover rate is measured in times per table
- Ingredient purchase unit price is measured in yuan per kilogram or yuan per item
Constraints on the Model Access and Configuration Link
Hotel and catering investment research data originates from scattered sources with varied formats. This requires the configuration phase to support multi-source format import and unified preprocessing rules. Differences in update frequencies across data sources mean tiered scheduled synchronization parameters must be configured to match varying update rates. Individual document lengths range widely, from short-text daily reports to tens of thousands of-word industry reports. Adaptive segmentation and context parameters must be configured to handle this range. Fields and units follow clear industry standards, so field mapping rules must be configured to ensure the model correctly identifies and associates unit information.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Hotel and catering investment research data includes short-text daily reports and long-form industry reports. This range covers the effective context content of most documents |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single files such as supply chain ledgers and regional industry reports have large sizes. This value supports most upload scenarios |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Long document parsing takes significant time. This duration prevents timeout interruptions for standard document parsing |
Recall Count | Top 6–8 entries | Hotel and catering investment research data has many tightly associated fields. Excessive recall introduces redundant information and reduces model output accuracy |
Similarity Threshold | 0.72–0.80 | Precise matching of store operation data and industry trend information is required to avoid mistakenly recalling non-target data from unrelated categories |
Model Preset Prompt | Please extract key indicators accurately and label their corresponding units based on hotel and catering industry operation data, supply chain information, and industry reports | Clarify field and unit rules adapted to the target category, and prevent unit confusion in parsing results |
The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to conduct tests on internal samples before finalizing values.
Three Common Configuration Errors
- Phenomenon: Calling the model interface returns a 404 error, and no available model list can be retrieved. Cause: The configured model interface path uses the standard
/v1/modelsformat, and does not adapt to the path format required by some platforms, which is/v1/model/list. - Phenomenon: After selecting the
qwen-plusmodel and enabling the output thinking function, the generated result does not include the thinking process. Cause: The model preset prompt does not clearly require outputting thinking steps, or the preset content is not aligned with the model call parameters. - Phenomenon: The storage directory of the model configuration file cannot be located, and preset parameters cannot be adjusted manually. Cause: The official documentation was not consulted to confirm the default storage path, and attempts were made to modify unauthorized system paths directly.
How to Confirm Successful Configuration
- Access the configured model interface path, verify that a normal model list can be returned, and check whether the path matches the requirements of the platform.
- Upload a typical hotel and catering operation report or industry report, check whether the parsed fields and units meet expectations, and verify the actual effect of the segmentation and recall configuration.
- Enable a test conversation, enter a query that clearly requires thinking, and confirm whether the generated result includes the specified thinking process content.
- Check the running logs of the scheduled synchronization tasks, confirm that no timeout or error messages appear in the document parsing and synchronization process.
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.