What the Data for This Category Looks Like
Educational service research report data primarily comes from financial industry wealth management education white papers, insurance industry training reports, financial literacy development research documents, and training analysis content developed in-house by licensed institutions. Update frequency varies by content type: policy-related research reports update in real time alongside financial regulatory policy releases, industry quarterly reports update on a fixed cycle, and in-house institutional training content has no fixed release schedule. Document structure typically includes title, publishing organization, release date, core arguments, data tables, formula charts, and appendix notes. Fields include unique research report identifier, publishing organization name, release time, affiliated financial education track, core viewpoint summary, and data source remarks. Involved units include common industry units such as number of trainees (ten thousand people), revenue scale (hundred million yuan), and class duration (hours).
Constraints on Knowledge Base Retrieval and Recall
The data characteristics of financial industry education service research reports impose multiple constraints on the retrieval and recall link. First, data sources include public regulatory documents and in-house institutional content. Differentiate compliance cleaning rules for different data to avoid unauthorized or non-compliant content entering the knowledge base. Second, update rhythms are inconsistent. Policy-related research reports require real-time synchronization, periodic reports require updates on a fixed cycle. Configure a flexible incremental update mechanism to adapt to different update frequencies. Third, documents contain financial professional terminology and multimodal content. Enable multimodal parsing functionality, and adjust segment length to retain contextual association of professional content. Fourth, structured data with multiple fields requires configuring field filtering rules to narrow the retrieval scope and improve matching accuracy for segmented financial education tracks.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Financial education research report text is long and contains professional paragraphs. The segment length adapts to text density and avoids damaging logical associations |
recall_top_k | Top 8–12 entries | Financial education research reports involve multi-dimensional training analysis. Sufficient recall volume is needed to cover core arguments, while controlling result redundancy |
similarity_threshold | 0.72–0.85 | The financial education field has many professional terms such as annualized rate of return and risk rating. A high matching degree is required to filter irrelevant content and retain results related to segmented tracks |
PARSE_MULTIMODAL_ENABLE | Enabled | Research reports include data charts, training hour formulas, and annotated content. Parsing multimodal content adds retrieval dimensions |
INCREMENTAL_UPDATE_INTERVAL | Every 24 hours | Policy-related research reports have no fixed update cycle, and industry quarterly reports are released on a fixed cycle. Daily incremental updates cover most update scenarios |
merge_reference | Enabled | Financial education research reports often reference multiple fragments from the same data source. Merging references reduces response redundancy and improves readability |
The parameter values provided on this page are conventional recommendations used to determine the starting point 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 on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: Multiple reference fragments from the same research report appear repeatedly in retrieval results, leading to redundant response content. Cause: The
merge_referenceconfiguration is not enabled, and retrieval results from the same source are not merged. - Phenomenon: Parsed research report charts and formula content cannot be retrieved, and relevant professional data is missing. Cause: The
PARSE_MULTIMODAL_ENABLEconfiguration is not enabled, and multimodal content parsing functionality is not activated. - Phenomenon: A large amount of non-financial education track content is mixed in the imported research report data, reducing retrieval accuracy. Cause: The original research report data is not cleaned and filtered using the
所属金融教育赛道field, and irrelevant documents are not removed.
How to Verify Configuration is Active
- Upload a test financial education research report that includes charts and professional formulas. Check if the parsed text contains chart annotations and formula content to confirm that the multimodal parsing configuration is active.
- Initiate a retrieval targeting a specific financial education track. Check if duplicate reference fragments from the same research report are automatically merged in the results to confirm that the reference merging configuration is active.
- View the knowledge base's incremental update logs. Confirm that newly released research reports automatically synchronize to the vector database according to the set cycle to confirm that the incremental update configuration is active.
- Retrieve content containing financial education professional terminology. Check if the matching degree of returned results meets expectations to confirm that the similarity threshold configuration is reasonable.
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.