What data in this category looks like
Hotel and catering investment research data comes from four main sources: supply chain quotation platforms, store POS transaction systems, industry association public ledgers, and third-party catering rating reports. Update cycles differ by data type. Ingredient quotations are updated daily. Individual store revenue data is summarized monthly. Industry trend reports are released quarterly. Most documents are structured tables or semi-structured reports. They include fields such as ingredient category, supplier identifier, store code, revenue range, and compliance qualifications. Units include yuan/kilogram, person-times, 10,000 yuan, and star rating, among others.
What constraints do these characteristics impose on the citation source and traceability link
The multi-source structure, varied update cycles, and segmented field features of hotel and catering investment research data create three constraints for traceability. First, update cycles vary widely across data sources. Traceability information must mark data collection time and source type. This avoids confusion between expired and real-time data. Second, structured documents include segmented fields like store code and ingredient category. Traceability must bind unique identifiers for corresponding fields. This ensures accurate association between retrieved content and original documents. Third, some data covers sensitive information for individual stores or suppliers. Traceability must retain hierarchical details of the original storage path. This facilitates subsequent compliance verification.
How to configure the settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
recall_top_k | 10-15 | Hotel and catering investment research data has many entries and rich segmented fields. A sufficient number of retrieved candidate documents is needed to cover segmented investment research scenarios |
similarity_threshold | 0.72-0.85 | Structured data has high field matching accuracy requirements. A low threshold introduces irrelevant documents. A high threshold misses valid matching content |
source_cite_format | [{source_name}, {update_time}, {store_id}, {field_value}] | Hotel catering data includes core segmented fields such as store information and update time. Corresponding identifiers must be bound in the traceability template |
enable_timeliness_check | Enabled | Update cycles vary widely across data sources. Expired data must be filtered to ensure traceability content is timely |
max_citation_per_response | 3-5 | Excessive traceability information interferes with AI responses. This range covers major reference bases |
rerank_top_k | 6-10 | Retrieved candidate documents are reranked. This prioritizes matches for segmented fields required for investment research, improving traceability accuracy |
The parameter values provided on this page are conventional recommendations used as 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 test on relevant samples before finalizing settings.
Three common mistakes
- Phenomenon: AI responses do not display external links to original documents. Only local file names are shown. Cause: The external storage path variable in
source_cite_formatis not configured. Only local document identifiers are called. - Phenomenon: The number of referenced documents in a single response exceeds expectations. Irrelevant content with low matching degrees is included. Cause:
max_citation_per_responseis not set.rerank_top_kis not enabled to prioritize and filter candidate documents. - Phenomenon: Field values are empty in traceability information. Examples include missing store ID or ingredient category. Cause:
field_mapping_configis not configured. Segmented fields from original documents are not mapped to corresponding variables in the traceability template.
How to confirm the configuration is complete
- A structured test document for hotel and catering can be uploaded. Investment research-related questions can be triggered. The response can be checked for configured traceability fields such as store ID and update time.
- The value of
recall_top_kcan be adjusted. The number of retrieved documents under different values can be compared. The expected coverage range can be confirmed. - Expired historical documents can be uploaded. Verification can be performed to confirm whether
enable_timeliness_checkfilters such documents. This ensures timeliness verification takes effect. - Documents from multiple sources can be simulated for upload. Verification can be performed to confirm whether traceability information correctly distinguishes identifiers of different data sources.
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.