What data for this category looks like
Data sources for tourism scenic area intelligent due diligence reports include official public documents from scenic area management committees, operation ledgers, qualification filing documents, and third-party monitoring data. There are two types of update cycles: fixed schedule and trigger-based. Annual master plans update every 3 to 5 years. Monthly operation data updates each month. Safety inspection records update in real time once inspections are completed. Document structures include structured ledger tables, lengthy narrative planning texts, and presentation PPTs with charts. Fields cover scenic area physical parameters such as floor area, passenger flow data such as annual visitor trips, operating hours, qualification numbers, hidden danger point numbers, and more. Some documents include multimodal content such as real-world photos and passenger flow heatmaps.
How these characteristics impose constraints on knowledge base retrieval and recall
The mixed structured and unstructured document features require the retrieval pipeline to support both structured field matching and semantic vector recall. This avoids missing key qualification or operation data when using a single recall method. The presence of multimodal content requires additional configuration of a multimodal parsing module. This ensures real-world photos, heatmaps and other content can be retrieved and associated. Differences in update cycles require setting trigger rules for incremental and full updates. This ensures the latest inspection records and monthly passenger flow data are synchronized in a timely manner. Long planning texts need to be split into appropriate segment lengths. This avoids overloading single segments and affecting semantic recall accuracy. Fixed physical parameters with attached units require matching field units during retrieval. This prevents parameter matching deviations.
How to set the configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_MULTIMODAL_ENABLED | Enabled | Scenic area documents include multimodal content such as real-world photos and passenger flow heatmaps. Enabling this setting supports retrieval and association of multimodal content |
CHUNK_SIZE | 800–1200 characters | Scenic area planning documents are mostly long texts. This segment length balances semantic completeness and recall accuracy |
RECALL_TOP_K | Top 8–12 entries | Due diligence reports need to cover multi-dimensional scenic area data. An appropriate number of recalled entries avoids missing key information |
SIMILARITY_THRESHOLD | 0.75–0.85 | Content such as scenic area qualifications and operation data requires high matching accuracy. This range filters low-relevance recall results |
UPLOAD_FILE_MAX_SIZE | 500 MB | Scenic area master plan documents are mostly large PDF or PPT files. This limit accommodates file upload requirements for most scenarios |
INCREMENTAL_UPDATE_TRIGGER | Triggered by file modification time | The update frequency of scenic area operation data varies greatly. Triggering by modification time only synchronizes updated documents, improving processing efficiency |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- After uploading a scenic area presentation PPT, the knowledge base retrieval results only display text fragments, with no associated references to corresponding images. Cause: The
PARSE_MULTIMODAL_ENABLEDconfiguration item is not enabled, or the multimodal parsing module failed to initialize properly. - Retrieval returns duplicate entries of scenic area qualification information, with extremely high similarity between duplicate content. Cause: The segment length is set too short, or the overlap ratio is too high, leading to the same content being split into multiple segments and recalled repeatedly.
- Physical parameter fields such as floor area in imported scenic area monthly report Excel files cannot be accurately retrieved and matched. Cause: Structured data parsing configuration is not enabled, or field units are not uniformly configured, leading to numerical matching failures.
How to verify the configuration is properly applied
- Upload a scenic area presentation PPT that includes real-world photos, and verify whether the retrieval results include associated text and visual reference identifiers for images.
- Upload two versions of the same scenic area operation document with different update times, and verify whether the system only triggers incremental updates, and does not perform full re-parsing of all documents.
- Enter scenic area parameter keywords that include units, and verify whether the retrieval results can accurately match the numerical values and units of the corresponding fields.
- Configure external HTTP data source synchronization rules, and verify whether real-time scenic area data returned by the interface can be normally retrieved and recalled.
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.