What this category's data looks like
Data for power industry financing daily reports primarily comes from publicly disclosed documents of local energy regulatory authorities, power project financing filing systems, and regular announcements of listed power enterprises. Updates are released once per workday. Each individual document includes fields such as project name, power type (wind power, photovoltaic, thermal power, etc.), financing amount, financing party, investor, financing term, disclosure date, and more. Financing amounts are mostly denominated in ten thousand yuan or hundred million yuan. Financing terms are measured in months or years. Disclosure dates use the YYYY-MM-DD format.
What constraints these characteristics impose on knowledge base retrieval and recall
The daily update rhythm of power financing daily reports requires knowledge base incremental synchronization to match the workday cycle to avoid data lag. The multi-field structure has clear attributes for fields like power type and financing amount. This requires the retrieval link to support both full-text keyword matching and structured range queries. The numerical attribute of financing amounts and the need for precise identification of project names require adjusting recall weighting rules. Prioritize matching core business fields to reduce irrelevant results.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
RECALL_NUM | Top 10-15 entries | Individual power financing daily report documents have limited length. Too many recall results will exceed the context window, while too few will fail to cover core business information |
MAX_CONTEXT_LENGTH | 8000-12000 characters | Individual document length mostly ranges from 500-800 characters. Combined with multiple results from retrieval and recall, this range adapts to total context carrying requirements |
PARSE_FILE_TIMEOUT | 300 seconds | When batch importing historical daily report documents, the parsing time per document stabilizes at 10-30 seconds. Sufficient timeout must be reserved to avoid parsing interruptions |
VECTOR_SIMILARITY_THRESHOLD | 0.72-0.85 | The core keyword similarity for power financing projects must be higher than general scenarios to filter low-relevance non-power financing results |
INCREMENTAL_SYNC_CRON | 0 9 1-5 | Matches the workday daily report update rhythm to ensure the latest daily documents are indexed in a timely manner |
WEIGHT_FIELDS | ["project name", "power type", "financing amount"] | These three fields are the core retrieval dimensions for power financing daily reports. Raising their weighted weights optimizes recall ranking |
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 specific analysis, and it is recommended to test against your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After restarting a Docker container, the knowledge base list and workflow configuration become blank, but interface calls still return normal results. Cause: The database storage path of FastGPT was not mounted to a local persistent directory. Temporary data in the built-in database is cleared when the container is destroyed.
- Phenomenon: A large number of non-power financing projects are mixed in retrieval results, and the number of recalled entries exceeds the preset range. Cause: No dedicated retrieval weighting was configured for the power type field, causing general keyword matching to take priority over category-specific fields.
- Phenomenon: When batch retrieving historical power financing daily reports, the interface returns excessive latency and a 504 timeout error occurs. Cause: No sharded indexes were configured for the vector database, and too many uncategorized historical documents were scanned during full retrieval.
How to confirm the configuration is complete
- Manually trigger an incremental sync, check the update logs in the knowledge base backend, and confirm that the day's power financing daily report documents have been successfully indexed.
- Enter a query containing power type keywords, view the ranking of retrieval results, and confirm that the weighting effect of core fields meets business expectations.
- Adjust the vector similarity threshold, test the number of recall results under different thresholds, and confirm that it meets business requirements for relevance.
- Simulate a batch retrieval scenario, check the interface response time, and confirm that it does not exceed the preset business response threshold.
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.