What the Data for This Category Looks Like
Diversified financial marketing content data primarily comes from compliant filing documents, product iteration documentation, offline investor education materials, online event rules, and regulatory public announcement information. Data updates follow no fixed cycle, and changes synchronize alongside regulatory policy adjustments, new business launches, or product iterations. Document formats include long-form compliance clauses, structured event rules, and investor education materials with external compliance links. Fields include compliance filing number, effective start date, applicable customer group scope, fee descriptions, and event validity period. No unified unit field exists, and some documents must adhere to formats specified by relevant regulatory requirements.
What Constraints Do These Characteristics Impose on Knowledge Base Retrieval and Recall
The characteristics of this category's marketing content impose multiple constraints on retrieval and recall: Metadata fields such as compliance filing numbers and effective dates must serve as precise retrieval dimensions to avoid recalling expired or non-compliant content. No fixed update cycle requires support for incremental synchronization mechanisms to ensure content timeliness. Long-form compliance clauses and short event notifications coexist, requiring adaptation to differentiated segmentation and recall thresholds. Documents with embedded external compliance links must retain their original format to avoid formatting errors after retrieval. The applicable customer group scope field must act as a filter condition to narrow the matching range of recall results and improve accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Long-form compliance clauses take longer to parse, avoid interrupting the parsing process due to timeout |
| Segment Length | 800–1200 characters | Balance semantic completeness of long-form compliance clauses and retrieval accuracy of short event notifications |
| Number of Recalled Entries | Top 8–12 entries | Diversified financial marketing content needs to cover multi-dimensional compliance information, avoid missing key clauses due to too few recalled results |
| Similarity Threshold | 0.75–0.85 | Balance precise matching of compliance content and rapid recall of event notifications, avoid mistakenly recalling expired content |
| Incremental Sync Trigger Rule | Triggered by business events | Data updates follow no fixed cycle, actively synchronize with new compliance documents or event launches |
| Number of Rearranged Returned Entries | Top 3–5 entries | Marketing scenarios prioritize the most relevant compliance and event information, avoid too many results interfering with judgment |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material formats, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- An
invalid configuration parameter name "hnsw.iterative_scan"error appears when starting the service. The error occurs because a parameter exclusive to newer vector database versions was misused. The vector database version supported by the currently deployed FastGPT does not include this configuration item. - Extra spaces and unexpected uppercase letter modifications appear in model output content. The cause is failure to correctly configure the document parsing format retention rule, and the prompt did not explicitly require retaining the original text and link format, leading to unintended adjustments to compliance document content.
- Uploaded knowledge base files cannot be found when deploying on Ubuntu systems. The cause is failure to correctly modify the local storage path configuration of FastGPT, and the default storage directory was not mapped to the intended disk partition.
How to Verify Proper Configuration
- Upload a marketing document that includes a compliance filing number and external compliance links, check if the parsed text fully retains the original links and metadata field content.
- Manually trigger an incremental sync operation, confirm that the knowledge base backend only syncs newly added or modified documents, and does not perform a full re-parsing.
- Enter a query statement that includes business keywords and metadata fields, verify that the effective dates and applicable customer groups of the recall results match the expected filter conditions.
- Adjust the values of configuration items, confirm through multiple test queries that the number and matching accuracy of recall results are suitable for the current business scenario.
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.