What the Data for This Category Looks Like
The data for this category comes from compliant public financial market data sources and the education service’s own investor education content library. A full data update runs once daily after market close. Each document uses a structured format. One line corresponds to a single daily report entry. Entries include fields such as target identifier, daily return value, cumulative return value, data update timestamp, and associated teaching content number. Documents have no pre-formatted percentage displays. Return-related content is stored as pure numerical values. Each entry has a fixed number of fields. No extra redundant content is included.
Constraints for Model Access and Configuration
Data updates run only once per day. Match model call frequency to the update schedule to avoid high-frequency invalid requests. Structured pure numerical fields require vector models to support non-text structured data vectorization. Configure additional structured data parsing rules. The associated teaching content number field requires recall results to bind corresponding investor education materials. Specify the weight of the associated field in the retrieval configuration. The storage format without pre-formatted percentages requires adding compliant unit display logic during result output. This avoids misunderstandings caused by directly outputting pure numerical values. Model outputs in education service scenarios must comply with investor education content compliance rules. Configure additional content filtering rules.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
embeddingModel | Select a model that supports structured data vectorization, such as bge-m3 | Adapts to structured daily report data with pure numerical values and associated teaching numbers, ensuring vectorization effectiveness |
requestInterval | 86400 seconds | Matches the daily data update schedule, prevents high-frequency requests from triggering interface rate limits |
retrievalTopN | Top 3–5 entries | Precise matching of investor education content and market data is required in education service scenarios. Excessive recall increases content redundancy |
similarityThreshold | 0.75–0.85 | Filters low-correlation market entries, ensures recall results highly match teaching needs |
contentFilterSwitch | Enabled | Complies with investor education content compliance requirements for education services, filters illegal or irrelevant output content |
structuredParseEnable | Enabled | Adapts to the structured daily report format of this category, automatically parses field content for vectorization and recall |
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 individual analysis. It is recommended to test on local samples before finalizing configuration values.
Three Common Configuration Mistakes
- Vector model access failure: The interface displays "No available channel" or returns a 403 error. The cause is incorrect configuration of the vector model’s API address or key, or the selected vector model cannot adapt to the pure numerical structured data format of this category.
- Model call timeout: "request timeout" appears in the task log. The cause is that the configured
requestIntervaldoes not match the data update schedule. High-frequency requests trigger the market data source’s rate limit mechanism, causing interface response delay to exceed the threshold. - Recall results not associated with corresponding investor education content: The cause is that the retrieval weight of the associated teaching number field is not enabled in the retrieval configuration. The system fails to match this field information.
How to Verify Correct Configuration
- Enter the FastGPT model management page. Check the access status of the vector model and large model. Confirm both show connected.
- Initiate a test call. Enter test daily market report keywords. Verify that the number of recall results matches the configured retrieval upper limit.
- Check the test call log. Confirm the structured data parsing switch is active. Confirm field content is correctly extracted and vectorized.
- Check the content filtering switch configuration. Confirm test output content complies with education service investor education compliance 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.