What this data looks like
Data sources include marketing material libraries across business units, customer interaction logs, offline event records, and online campaign data. Update frequency is determined by each sub-brand’s operational rhythm. Core marketing materials are updated in real time, while customer interaction data is aggregated daily. The document structure uses individual marketing content as the basic unit, including fields for associated sub-brand identifier, content type, delivery channel, target audience, and associated conversion records. Units include material file size, reach count, conversion count, and similar metrics.
What constraints do these characteristics impose during model integration and configuration?
Independent data sources for each sub-brand require multi-tenant isolation rules to prevent cross-brand mixing of marketing content. Real-time updated marketing materials require a real-time synchronization trigger mechanism for data sources, ensuring that materials used for model calls are the latest versions. Diverse content types require adaptation to different chunk parsing logic to handle formats such as long copy, poster text, and H5 scripts. Unified field mapping rules must cover fields with different units including reach count and conversion count, to ensure accurate parameter matching during retrieval.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
multi_tenant_enabled | Enabled, bound to sub-brand ID | Matches content isolation requirements for multiple business units |
datasource_sync_interval | 10-30 seconds | Adapts to the real-time update rhythm of marketing materials |
chunk_size | 800-1200 characters | Adapts to chunk parsing logic for multiple types of marketing content |
retrieve_top_k | Top 3-5 entries | Controls the volume of retrieved content, adapting to the precise matching needs of marketing scenarios |
similarity_threshold | 0.72-0.80 | Filters low-relevance materials from other brands or non-target delivery channels |
parse_file_timeout | 600 seconds | Supports complete parsing of large marketing material packages |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to conduct testing on custom samples before finalizing.
Three common mistakes
- Phenomenon: Semantic retrieval similarity scores meet the preset threshold, but the model returns no relevant content. Cause: Multi-tenant isolation rules are not configured, causing irrelevant marketing materials from other sub-brands to be retrieved, or non-target delivery channel content is not filtered.
- Phenomenon: Multiple semantically matching contents are retrieved, but the model returns no relevant answer. Cause: Unified field mapping for retrieved content is not completed, or valid information is not filtered by content type, preventing the model from recognizing valid context.
- Phenomenon: Timeouts occur during peak knowledge base query traffic, and logs show unexpected token consumption per call. Cause: No total token limit is configured for retrieved content, leading to excessive retrieval results being passed in each call.
How to confirm configurations are correct
- Initiate cross-sub-brand content retrieval, verify that retrieved results only include marketing materials from the specified sub-brand, confirming multi-tenant configuration is active.
- Upload different types of marketing content, verify that the parsed chunk length falls within the preset range, confirming chunk configuration is active.
- Simulate peak traffic calls, verify that token consumption per call meets expected levels, confirming retrieved token limit configuration is active.
- Adjust the similarity threshold, verify that the relevance of retrieved results changes as expected, confirming threshold configuration is active.
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.