What the Data for This Category Looks Like
Data for this category comes from three main sources: quarterly operation briefs and annual financial reports officially disclosed by park operation entities, as well as public statistical materials from local industrial park associations. Updates follow public disclosure cycles. Core operation data is typically updated quarterly, with full annual financial reports released each year. Most documents follow a five-module structure: operation overview, leasing and business attraction, revenue and costs, settled enterprise updates, and policy support. Structured fields include total rentable building area, rented building area, number of settled enterprises, rental income, operating costs, and more. Common units are square meters, count of enterprises, and ten thousand yuan.
Constraints on Knowledge Base Retrieval and Recall
Dispersed data sources require retrieval support for cross-knowledge base set association queries, to avoid missing information from single data sources. The modular long-text structure of documents requires matching reasonable segment lengths during retrieval. This ensures complete contextual semantics while avoiding irrelevant information from overly long segments. Multiple structured fields require precise matching based on field characteristics during the recall phase, rather than relying solely on text semantic similarity. Fixed quarterly and annual update rhythms require the knowledge base to support incremental update mechanisms, reducing resource consumption from full reindexing. Nested park hierarchy data requires retrieval support for cross-level associated recall, covering relevant information between parent and child parks.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall count | Top 8-12 entries | Industrial park financial reports include multi-dimensional structured fields. This recall volume covers different retrieval needs while avoiding excessive redundant information |
Similarity threshold | 0.72-0.85 | Financial report data requires precise matching of field characteristics. A threshold that is too low will introduce irrelevant operating data, while a threshold that is too high will miss results related to detailed fields |
Chunk size | 800-1200 characters | Adapts to the modular structure of industrial park financial reports, can fully cover the semantic context of a single module and avoid segment breaks |
Knowledge Base Collection Search Mode | Nested search | Industrial parks have a parent-child park hierarchy structure. Nested search enables cross-level associated data recall |
Incremental Update Trigger Condition | Triggered by file modification time | Industrial park financial reports are updated on a fixed quarterly/annual cycle. Triggering by modification time accurately identifies new documents and reduces invalid reindexing |
Rerank result count | Top 5-6 entries | Controls a reasonable scale of recall results, adapting to context call restrictions in subsequent financial report generation links |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: When calling knowledge base retrieval, only results from a single knowledge base are returned, and financial report data from associated child parks cannot be obtained. Cause: The nested configuration of
Knowledge Base Collection Search Modeis not enabled, or the retrieval instruction does not explicitly specify parameters for cross-level queries. - Phenomenon: The number of recall results is lower than expected, and a large amount of irrelevant non-park operation data appears. Cause: The similarity threshold is not set to a range that meets business requirements. A threshold that is too high will miss relevant results, while a threshold that is too low will introduce irrelevant text.
- Phenomenon: Knowledge base update tasks continue to occupy a large amount of system resources, and the update cycle exceeds expectations. Cause: The
Incremental Update Trigger Conditionis not configured to trigger by file modification time, and full reindexing is performed instead of identifying only updated documents.
How to Confirm Proper Configuration
- Submit a test retrieval instruction that includes "associated child park operation data", check whether the returned results cover financial report fragments from both parent and child parks, to confirm that the nested search configuration is effective.
- View the knowledge base update log, confirm that only newly added or modified documents trigger updates, and no full reindexing records appear, to confirm that the incremental update configuration is correct.
- Adjust the similarity threshold and compare recall results, confirm that when the threshold matches the accuracy required by the business, the recall results cover both core revenue and leasing fields, which meets expectations.
- Check the number of retrieval return results, confirm that the result size adapts to the context call restrictions of the subsequent financial report generation link, to confirm that the recall and reordering configurations are reasonable.
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.