Data Characteristics of This Category
Data sources for biologic product marketing content in financial scenarios include product registration documents, clinical trial summary reports, official compliance instructions, marketing materials, compliance update materials, and health insurance biologic product reimbursement rule descriptions. Updates trigger when products receive approval, compliance rules change, marketing plans shift, or health insurance products update. No fixed update cycle exists. Documents contain mixed structured and unstructured content. Structured fields include product registration numbers, active ingredient content, dosage units, reimbursement ratios, and similar details. Unstructured text includes indication descriptions, adverse reaction records, and marketing script content.
Constraints for Vector Models and Indexing
The characteristics of biologic product marketing content in financial scenarios create multiple constraints for the vector model and indexing workflow. Indexing must support multi-field associated retrieval for documents with mixed structured and unstructured content. This avoids losing critical compliance information such as registration numbers, dosage amounts, and reimbursement ratios that would be missed when relying only on semantic vectors. Chunking strategies must preserve contextual connections for documents with a high proportion of long text. This prevents critical content in clinical trial summaries or compliance instructions from being split apart. Indexing must support incremental update mechanisms for non-fixed update cycles. This allows synchronization of latest registration, marketing, or health insurance product update information without full index reconstruction. A structured field verification step must be added after vector retrieval for precise fields such as active ingredients and dosage. This ensures retrieved content meets both financial regulatory and pharmaceutical compliance requirements.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Preserves contextual integrity for long documents in biologic product marketing content. Avoids splitting clinical trial descriptions and compliance instructions into overly short fragments that cause semantic loss |
chunk_overlap | 150–200 characters | Retains contextual connections between adjacent chunks. Prevents critical information across chunks in long documents from being separated |
enable_incremental_index | Enabled | Adapts to non-fixed update cycles. Synchronizes newly added or modified registration and marketing content without full index reconstruction |
vector_search_top_k | Top 10–15 results | Balances retrieval precision and resource consumption. Adapts to retrieval requirements for content with many compliance fields in biologic product marketing |
structured_field_filter | Enabled | Adds a filtering step for structured fields such as product registration numbers and dosage amounts. Ensures retrieved content meets precise matching requirements |
index_shard_num | Calibrated via actual testing | Adapts to scenarios with a large number of uploaded files. Prevents index abnormalities caused by excessive load on a single shard |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific situations require individual analysis. It is recommended to test on your own samples before finalizing values.
Three Common Misconfigurations
- Phenomenon: After uploading a large number of biologic product registration documents, the server restarts. The knowledge base status stays at "not ready". Automatic index triggering fails. Manual reconstruction is required. Cause:
enable_incremental_indexis not enabled, and the batch index trigger threshold is not configured. A large number of uploaded files causes index task backlog. Unfinished index tasks are not restored after server restart. - Phenomenon: After upgrading to version 4.9 or later, the original knowledge base cannot return vector retrieval results. Cause: Vector model configuration is not updated synchronously. The new version adjusts tokenization rules or vector dimensions. Old index vector embeddings do not match the current model.
- Phenomenon: Retrieval results include irrelevant active ingredient descriptions. Precise matching of target indications fails. Cause:
structured_field_filteris not enabled. Structured filtering for registration numbers, indication fields is not performed. Relying only on semantic retrieval causes result deviation.
How to Verify Proper Configuration
- View index shard load monitoring. Confirm that single shard resource usage matches current business scale. Adjust
index_shard_numas needed. - Upload a biologic product marketing document containing both structured fields and long text. Check that chunking results preserve contextual connections. No critical content is overly split.
- Trigger an incremental update operation. Confirm that the index automatically synchronizes newly added registration or marketing files. No full index reconstruction is required.
- Run a retrieval test. Input a query containing indications and structured fields. Confirm that retrieved results include corresponding structured field information.
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.