What the data for this category looks like
Knowledge base data used for marketing biologic-related wealth management or insurance products in financial scenarios primarily originates from clinical study reports of biopharmaceutical enterprises, approved documents filed with regulatory authorities, indication description documents for academic promotion, adverse event monitoring data, as well as product brochures and investor education materials from financial institutions.
Update frequency changes alongside biopharmaceutical R&D progress, regulatory policy adjustments, and product launch updates.
Document structures include long-form professional reports and structured fields. Structured fields include generic name, brand name, specification, approval number, target, half-life, and more. Units involve professional measurement standards such as IU, mg, ml. A large volume of specialized domain terms appear in the text.
What constraints do these characteristics impose on retrieval and recall?
Biologic product marketing content in financial scenarios must balance professional medical information and investor-friendly language. The data characteristics create multiple constraints for retrieval and recall:
- Long text accounts for a large share, and specialized terms are dense. Retrieval segmentation must balance contextual coherence and term integrity, to avoid truncating critical clinical information.
- There are many structured fields that must strictly match regulatory compliance requirements. Mixed matching of keyword retrieval and semantic recall must be supported, to ensure investors can quickly find relevant compliant information.
- Data update frequency varies widely. Support for both incremental synchronization and full updates is required, to ensure marketing content aligns with the latest biopharmaceutical R&D and regulatory filing information.
- Single-document file size varies widely, from a few KB product brochures to hundreds of MB clinical reports. Parsing and retrieval loading must adapt to different file sizes, to avoid impacting investor access speed.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_SEGMENT_LENGTH | 800–1200 characters | Biologic product clinical reports mostly consist of long, professional sentences. Segmentation that is too long will disrupt contextual connections of specialized terms, while segmentation that is too short will break clinical logic. This range also aligns with the information reading rhythm of financial investors. |
RECALL_TOP_K | Top 8–12 results | Financial marketing content needs to cover multiple dimensions including product compliance, biologic product R&D progress, and risk warnings. Too many recalled results will interfere with investors' information filtering, while too few will miss key compliant materials. |
SIMILARITY_THRESHOLD | 0.72–0.80 | Specialized terms for biologic products have high semantic differentiation. A threshold that is too low will introduce irrelevant clinical materials, while a threshold that is too high will miss relevant academic promotion materials. This range meets the information accuracy requirements of financial scenarios. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large-volume single clinical study reports takes significant time. The default timeout duration is insufficient to cover the full parsing process, avoiding parsing failures for large files. |
DUPLICATE_CHECK_ENABLE | Enabled | Biologic product filing documents mostly use approval numbers as unique identifiers. Enabling deduplication avoids duplicate content interfering with retrieval results, ensuring compliance and accuracy of financial marketing content. |
LOG_RETRIEVAL_DETAIL | Enabled | Retrieval call association information for individual documents must be recorded, to facilitate subsequent effect review and compliance auditing of financial marketing content. |
The parameter values provided on this page are common recommended starting points for configuration setup. 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 Configuration Errors
- Symptom: Empty fields are returned when viewing historical call logs for a single document. Cause: The
LOG_RETRIEVAL_DETAILparameter is not enabled, so no association information between retrieval calls and documents is recorded. - Symptom: Duplicate filing document entries appear in retrieval results. Cause: The
DUPLICATE_CHECK_ENABLEparameter is not enabled, so document deduplication based on unique identifiers such as approval numbers is not completed. - Symptom: A
408 Request Timeouterror is triggered when parsing large-volume clinical reports. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted to a value suitable for large files, and the default timeout duration is insufficient.
How to Confirm Correct Configuration
- Upload a single clinical study report under 200 MB, and check whether the parsing task status is completed within the
PARSE_FILE_TIMEOUT_SECONDSduration. - Initiate a retrieval request containing specialized terms, and verify whether the number and similarity of recalled results meet the preset threshold requirements.
- Upload two biologic product filing documents with the same approval number, and confirm that the system automatically deduplicates them, retaining only one valid entry.
- Enter the retrieval log page, and confirm that the call records for individual documents include complete fields such as associated retrieval keywords and recall time.
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.