Data Characteristics of Tourist Attraction Research Reports
Data for tourist attraction research reports originates from multiple sources. These include publicly released statistical reports from cultural and tourism regulatory authorities, daily operational data from attraction operation management systems, quarterly survey results from industry associations, tourist feedback data from OTA platforms, and official attraction announcements. Update frequencies cover real-time (passenger flow, ticket sales data), daily (same-day revenue), and monthly/quarterly (industry analysis reports). Individual documents typically contain fields such as basic attraction information, passenger flow time distribution, revenue composition ratio, tourist profile tags, safety response plans, and annual development plans. Standard units of measurement include person trips, yuan, square kilometers, and percentage.
Constraints for Knowledge Base Retrieval and Recall
The multi-source, heterogeneous data properties of tourist attraction research reports create multiple constraints for the knowledge base retrieval and recall process. Variations in update rhythms between real-time passenger flow and ticket data and monthly research reports require configuring incremental synchronization mechanisms. These mechanisms must separate update pipelines for full offline data and near-real-time operational data. Documents include detailed fields such as passenger flow time periods, revenue composition, and tourist profile tags. This requires support for field-level retrieval configuration to prevent unrelated cross-attraction data from appearing in results. The length of individual documents varies widely, from hundreds of words for temporary announcements to tens of thousands of words for annual plans. This demands adaptable chunking rules to avoid truncating core business information.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | top 10-15 results | Tourist attraction research report data volume is moderate. Too many results increase context processing load. Too few fail to cover valid information for multiple attractions in the same region. |
similarity threshold | 0.75-0.9 | Scenarios in the same region for attraction data may be similar. A threshold that is too low will include unrelated attraction results. A threshold that is too high may miss valid research reports for similar attractions. |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Some long documents such as annual development plans can reach tens of thousands of words. Sufficient processing time must be reserved for parsing. |
UPLOAD_FILE_MAX_SIZE | 200 MB | Tourist attraction research reports may include high-definition charts and multi-page attachments. This upper limit accommodates upload requirements for large reports. |
incremental sync interval | 5 minutes | Balances low-latency requirements for real-time passenger flow data and server resource usage, while matching the update frequency of offline research reports. |
chunk length | 800-1200 characters | Adapts to the widely varying document lengths of tourist attraction research reports, while balancing context coherence and retrieval accuracy. |
The parameter values listed 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 your own samples before finalizing settings.
Three Common Misconfiguration Issues
- Symptom: No synchronized data appears in the knowledge base. The interface shows synchronization successful, but corresponding content cannot be retrieved. Cause: Synchronization mapping rules for database connections are not configured correctly. The incremental synchronization switch is not enabled.
- Symptom: Retrieval results include invalid content with semantic similarity below 0.9 and full-text search score below 50000. Cause: The
similarity thresholdandfull-text search score thresholdparameters are not configured, or threshold settings do not meet the retrieval accuracy requirements for attraction data. - Symptom: The interface continuously displays the "retrieving" status with no results returned. Cause:
PARSE_FILE_TIMEOUT_SECONDSis set too short. Long document parsing times out without triggering retries. Or recall count is configured too high, leading to context processing timeout.
How to Verify Correct Configuration
- Manually upload a single tourist attraction research report. Check that parsed document fields fully match the uploaded content.
- Run a retrieval test. Verify that the attraction names in returned results match the search keywords. Adjust configuration items until they meet business requirements.
- View synchronization logs. Confirm that incremental synchronization tasks run automatically at the configured interval, with no error records.
- Test upload of a long document. Confirm that parsing completes without truncation or timeout errors.
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.