What Data for This Category Looks Like
Industrial park investment research data primarily comes from investment promotion ledgers in park operation systems, industrial and commercial records and financial reports of settled enterprises, local industrial policy documents, monthly operation reports, and land transfer announcements. Update cycles vary significantly: investment and settled enterprise data is updated in real time or weekly, policy documents are updated quarterly, and operation reports are archived monthly. Documents include structured tables such as settled enterprise lists containing enterprise names, industry classifications, and tax per mu, semi-structured policy documents, and unstructured inspection records. Fields often cover metrics like area, revenue, and occupancy rate, with units including square meters, ten thousand yuan, percentage, and others.
What Constraints These Characteristics Impose on Context and Token Management
The multi-type and dynamically updated nature of industrial park data creates multiple constraints for context and token management. Structured settled enterprise lists contain dozens of detailed fields, and batch recall can easily exceed the model's token limit. Long documents such as single park master plan PDFs can reach tens of thousands of characters, and direct input will exhaust the context window. Dynamically updated investment and settled enterprise data that is not synchronized to the knowledge base in a timely manner will lead to context references to outdated information. Policy documents have version differences, requiring the context to only retain the latest valid clauses to avoid confusion between industrial support requirements from different stages. Inconsistent field units across multi-source data increases token consumption during context integration, so format calibration must be completed in advance.
How to Set Configurations
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Most industrial park documents are long-text plans and policy documents; this range balances token consumption and semantic completeness |
recallTopK | Top 3–5 results | Park investment research requires precise matching of industrial policies and settled enterprise data; excessive recall will exceed the token limit |
similarityThreshold | 0.75–0.85 | Filter low-relevance park operation data to avoid invalid token usage |
fileParseTimeout | 300 seconds | Parsing large park master plan PDFs takes significant time, so extend the timeout period |
enableVersionControl | Enabled | Matches the characteristics of park policy version updates, ensuring context references the latest version |
maxContextTokens | 8192–16384 | Adapts to the integration needs of multi-field structured data for industrial parks, preventing recalled data from exceeding limits |
The parameter values provided 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, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- The system returns a "context window exceeded" error during conversation, or generated content is truncated. This occurs because reasonable segmentation and recall parameters are not configured for long park documents, causing input tokens to exceed the model limit.
- The industrial policy version recalled by the knowledge base does not match the currently valid document. This occurs because version control configuration is not enabled, and the context still references old policy documents, leading to token association with invalid data.
- The system prompts "token verification failed" and cannot load the knowledge base. This occurs because the knowledge base's token verification rules are not configured correctly, or the default login verification logic is not replaced, resulting in failed identity authentication.
How to Confirm Configuration Is Correct
- Upload a single park master plan PDF, review the parsed segmentation results, and confirm the segment length matches the preset configuration.
- Submit a query covering park settled enterprises and industrial policies, review the number of recalled results, and confirm it aligns with the preset recall limit.
- Trigger an incremental update task, and verify that policy document versions in the knowledge base match the latest official announcements.
- Simulate batch recall of structured data, check system logs for context token overflow prompts, and confirm the configured token limit supports data integration.
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.