What the data for this category looks like
Tourist attraction financial report data comes from three sources: internal operation ledgers of tourist attractions, publicly released statistical reports from cultural and tourism authorities, and annual and quarterly announcements of listed tourist attractions. Update cadences fall into three categories: monthly operation data, quarterly revenue reports, and full annual financial reports, updated once per month, quarter, and year respectively. Most documents use structured tables as their main format, with fields including tourist reception volume, various revenue items, labor and operation and maintenance costs. Units include person-times, yuan, yuan per person-time, and others. Some long documents also include associated analysis paragraphs for passenger flow and revenue.
What constraints do these characteristics impose on knowledge base retrieval and recall
The data characteristics of tourist attraction financial reports create multiple constraints for retrieval and recall. Multi-source data sources require configuring mixed indexing rules to cover both internal operation data and public announcement content. Differentiated update cadences need staged incremental update tasks, to avoid excessive computing resource usage from full indexing. Strong associated attributes between multiple fields in documents require retaining field context during retrieval, to prevent losing the correspondence between revenue and passenger flow after text splitting. Documents with different update frequencies need index priority settings, to ensure the latest monthly operation data is recalled first.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_CHUNK_SIZE | 800–1200 characters | The length of single-paragraph revenue and passenger flow data in tourist attraction financial reports is moderate. This chunking range balances context integrity and retrieval accuracy |
RECALL_TOP_N | Top 8–12 results | Tourist attraction financial reports include multi-dimensional fields such as revenue, passenger flow, and costs. Sufficient relevant segments must be covered to match user queries |
SIMILARITY_THRESHOLD | 0.72–0.80 | High accuracy is required for financial report fields. This threshold filters irrelevant general cultural and tourism data while retaining matching of different expressions of the same field |
UPLOAD_INCREMENTAL_ENABLE | Enabled | Tourist attraction financial reports have monthly and quarterly incremental updates. Incremental synchronization significantly reduces index update time |
MAX_CONTEXT_LENGTH | 4000–6000 characters | Associated context of revenue and passenger flow in financial reports must be retained, to avoid response bias caused by out-of-context interpretation |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single annual financial report documents have large file sizes. This timeout setting ensures complete parsing of long documents |
The parameter values provided on this page are common recommended 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 misconfigurations
- Search test results do not match the financial report fields set in the knowledge base. The cause is that
SIMILARITY_THRESHOLDis set too low, which introduces general cultural and tourism data unrelated to tourist attraction financial reports. - A
400 Bad Requesterror appears during search tests when using a new embedding model. The cause is that the input length limit of the embedding model does not match the chunking length set byPARSE_CHUNK_SIZE, causing chunked text to exceed the model's maximum token limit. - Configuration tool calls do not prioritize recalling knowledge base content. The cause is that
RECALL_BEFORE_TOOLis set to disabled, and the logic of first retrieving the knowledge base is not enabled.
How to confirm the configuration is correct
- Upload a single quarterly financial report document, view the parsed chunk list, and verify that the chunk length falls within the range set by
PARSE_CHUNK_SIZE. - Enter a precise field query, such as "2024 first half tourist reception volume", and verify that the returned result fields match the knowledge base documents.
- Upload incrementally updated monthly operation data, view the index update log, and confirm that incremental synchronization is completed.
- Test single-segment text input for the embedding model, confirm that the input length does not exceed the model's limit, to avoid search 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.