What This Category’s Data Looks Like
Railway and highway financing daily report data mainly comes from official announcements from transportation authorities at all levels, credit granting announcements from policy banks, public financing announcements from transportation enterprises, and industry association dynamic briefings. The update schedule is daily updates for individual project dynamics, and weekly summary reports updated every Friday. A single standard document includes 8 core fields: project number, project name, affiliated section/route, financing amount, funding channel, financing completion time, approval authority, and leading implementing entity. For field units, financing amount is measured in ten thousand yuan, and project numbers use the national unified transportation project approval coding format.
What Constraints Do These Characteristics Impose on Knowledge Base Retrieval and Recall
Multiple scattered data sources require limiting the document scope during retrieval, only including official announcements and compliant documents to avoid interference from non-authoritative information. The coexistence of daily individual updates and weekly summaries requires configuring a combined strategy of incremental and full updates for the knowledge base, to avoid excessive resource usage from full synchronization. Fixed field structure and unified coding rules support precise filtering via fields, such as quickly locating target documents using project number or affiliated section. Content with high timeliness requirements needs to add time weight to recall ranking, prioritizing content updated within the last 72 hours.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Document Scope Whitelist | Only add official domains such as *.mot.gov.cn, *.chinabond.com.cn, *.adb.org | The authoritative data sources for railway and highway financing daily reports are transportation authorities, bond information platforms, and policy bank platforms. The whitelist filters non-compliant documents |
Incremental Sync Cycle | Daily at 02:00 | Daily individual project updates require timely synchronization. Synchronizing at night avoids peak business hours and reduces resource consumption |
Similarity threshold | 0.75–0.85 | Financing daily report content mostly consists of structured fields and short descriptions. A threshold that is too low will introduce irrelevant projects, while a threshold that is too high will miss similar projects with high matching degrees |
Recall count | Top 10 entries | The number of valid information entries in a single financing daily report usually does not exceed 8. Recalling 10 entries covers all valid content and avoids redundancy |
Chunk size | 800–1000 characters | Financing daily report documents are mostly short texts spliced with structured fields. Too long a segment will lose field association information, while too short a segment will disrupt context coherence |
PARSE_FILE_TIMEOUT_SECONDS | 60 seconds | Single financing daily report documents have a small size. A 60-second timeout covers conventional parsing time and avoids parsing failure due to network fluctuations |
The parameter values provided on this page are conventional recommendations used as a starting point 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 Easy-to-Make Errors
- Phenomenon: Non-transportation financing projects appear in retrieval results. Cause: No
Document Scope Whitelistconfigured, allowing documents from non-authoritative data sources to be included in the knowledge base. - Phenomenon: The
worker terminated due to reaching memory limiterror occurs when creating a knowledge base in FastGPT version 4.13.2. Cause: Too many financing daily report documents uploaded in a single batch, or failure to adjustPARSE_FILE_TIMEOUT_SECONDSto extend the timeout period, leading to memory overflow of the parsing process. - Phenomenon: Variable references in the knowledge base search module cannot correctly match the target knowledge base, and the returned result is empty. Cause: The specified knowledge base ID is not correctly assigned to
知识库变量, or the variable scope is configured incorrectly.
How to Verify Correct Configuration
- Check the
Document Scope Whitelistconfiguration, manually import a test document with a non-whitelist domain, and confirm that the document is not successfully parsed and stored in the knowledge base. - Trigger an incremental synchronization task, check the synchronization log, and confirm that only data source documents from the last 24 hours are updated.
- Run a knowledge base retrieval test, enter a project number keyword, and confirm that the retrieval results only include matching railway and highway financing projects.
- Adjust the
Similarity thresholdand run a test, observe the change in the matching degree of retrieval results, and confirm that the threshold configuration meets business requirements.
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.