What this category of data looks like
Data sources for tourist attraction investment research include official scenic spot operation systems, cultural and tourism authority filing databases, real-time passenger flow monitoring equipment, public tour guides and ticket sales systems. Update cadence follows multiple tiers: real-time passenger flow and ticket availability data is updated hourly. Tour content and annual operation reports are updated quarterly or during major events. Filing-based basic data is updated annually. Document structure covers three categories: structured passenger flow peak tables, fare tables, and carrying capacity lists; semi-structured tour routes and emergency precautions; unstructured annual operation analysis reports. Fields include clear attributes such as scenic spot ID, instantaneous passenger flow (unit: person-times), daily maximum carrying capacity (unit: person-times), opening hours, and single ticket price (unit: yuan).
What constraints do these characteristics impose on knowledge base retrieval and recall?
Real-time passenger flow and ticket data require indexes to support high-frequency incremental updates. Otherwise, recall results will lag behind actual operational conditions. The large number of structured fields with clear units requires retrieval to match field attributes. This avoids unit confusion and irrelevant entries. The wide range of document lengths requires a chunking strategy. The strategy must balance contextual completeness for long documents and accurate recall of short entries. Some scenic spot data includes time-sensitive temporary notices, such as capacity restriction adjustments or event changes. Recall processes must prioritize sorting the latest entries. This ensures investment researchers access information matching current operational status.
How to set the configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
top_k | Top 8-12 entries | Scenic spot data includes multiple types of content such as structured passenger flow data, real-time notices, and unstructured guides. Retrieving more entries covers different investment research dimensions and avoids missing key information |
similarity_threshold | 0.72-0.85 | Scenic spot guide content contains many similar phrasing. If the threshold is too low, irrelevant results are introduced. If the threshold is too high, time-sensitive temporary notice content may be missed |
incremental_sync_interval | 15-30 minutes | Real-time data such as scenic spot passenger flow and ticket adjustments is updated frequently. This interval ensures index synchronization frequency matches the data update cadence |
chunk_size | 800-1200 characters | Scenic spot documents include long paragraphs of annual analysis and short ticket information. This chunk length balances contextual completeness and retrieval accuracy |
rerank_top_k | Top 3-5 entries | Investment research scenarios require prioritizing access to the most relevant core data. Reranking reduces redundant information and improves retrieval efficiency |
parse_timeout | 120 seconds | Parsing large scenic spot tour guides and annual reports takes significant time. This duration covers parsing requirements for most documents |
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 individual analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Retrieval debugging cannot find the result editing entry. The symptom is that no quick adjustment button for retrieval results appears in the test interface. The cause is that the new platform version has moved the retrieval debugging entry to the knowledge base content management page. Index parameter adjustments must be made in the document list of the corresponding knowledge base.
- Knowledge base results returned by the API are inconsistent with those on the platform test interface. The symptom is that the number of entries returned by the API is lower than that on the test interface. The cause is that the API does not specify the
top_kparameter, uses the platform default value, and the test interface has manually adjusted the recall count configuration. - Users cannot be prevented from downloading knowledge base documents. The symptom is that users can download uploaded scenic spot tour guide PDFs through the chat interface. The cause is that the knowledge base document download disable switch has not been enabled, or the document download permission has not been turned off in the application configuration.
How to confirm the configuration is correctly set
- Upload a latest scenic spot passenger flow statistics table. Wait for index completion, enter "today's passenger flow" in the retrieval box, and verify whether the timestamp of the returned results matches the generation time of the uploaded file.
- Specify
top_kas 10 when calling the API, and verify whether the number of returned knowledge base entries meets the configured 10-entry requirement. - Upload a scenic spot operation analysis report with a length exceeding 1000 characters. View the parsed chunked content, and verify whether the length of each chunk falls within the configured
chunk_sizerange. - When creating a chat application, verify whether the application configuration has associated the target knowledge base. Confirm that the API call carries the correct knowledge base association parameters to avoid default unassociated situations.
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.