What this category’s data looks like
Data for education service financing daily reports comes primarily from public regulatory disclosure documents, industry association survey summaries, and official financing announcements from educational institutions. Updates occur once per working day, and the number of daily entries fluctuates with market activity. Each document follows a fixed structure with six standard fields: full name of the financing entity, financing round, disclosure date, financing amount (unit: ten thousand yuan or hundred million yuan), list of core investors, and business track classification. Some supplementary documents include summaries of key clauses from financing agreements.
What constraints these characteristics impose on knowledge base retrieval and recall
The requirement for high-frequency daily updates means the retrieval system must support incremental synchronization configuration, to avoid overusing server resources from full refreshes. The fixed structured fields require the recall step to support precise filtering by fields such as financing round, business track, and disclosure date. Differing units for financing amounts require a unified unit conversion logic during recall, to avoid matching errors. The highly time-sensitive content attribute requires recall results to prioritize recently disclosed entries, and limit the time window of recalled data to prevent outdated information from interfering with query responses.
How to set configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
recall count | Top 10-15 results | Education service financing daily reports have high information density per entry. Too many recalled entries will exceed the context window limit, while too few will fail to cover complete financing-related information |
similarity threshold | 0.75-0.85 | Structured field matching has high priority, so balance precision and recall coverage to avoid missing key financing entity information |
incremental sync interval | 1 hour | Aligns with daily high-frequency updates. A short interval ensures data timeliness while reducing server load |
maxContext | 800-1200 characters | Core information for a single financing daily report is approximately 300-500 characters, reserving sufficient context space for linking recent financing cases in the same track |
PARSE_FILE_TIMEOUT_SECONDS | 60 seconds | Single document structure is fixed, parsing takes little time. 60 seconds covers parsing delays in abnormal scenarios |
structured field recall weight | 0.6 | Core fields such as financing entity and disclosure date have higher weight than text summaries, improving precise matching efficiency |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: An error occurs in the query workflow after adding a knowledge base, but the knowledge base search test returns results normally. Cause: The context splicing parameter between the knowledge base and the main model is not configured, causing the main model to fail to process the recalled knowledge base content.
- Symptom: The interface shows no progress after switching the knowledge base vector model, and the original model configuration cannot be restored. Cause: No backup of the original vector model index is retained, or no index migration logic is configured during model switching.
- Symptom: The same query returns differing results from the private knowledge base that do not match expected outcomes. Cause: The financing amount unit conversion logic is not unified, or the recall weight configuration for structured fields is unbalanced.
How to confirm the configuration is complete
- Run a knowledge base search test, enter a query that includes a financing entity and round, and verify the returned results have complete fields and timeliness.
- Trigger an incremental sync task, check if the sync logs include the latest financing daily report entries of the current day, with no abnormal errors.
- Adjust the similarity threshold and recall count, verify that the sorting and quantity of query results meet expectations.
- Check the vector model configuration page, confirm the currently used model matches the preset configuration, and can be switched back to the test model normally.
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.