What data for this category looks like
Data is sourced from gas utility marketing management systems, official new media content libraries, and offline event planning archive files. Update cadence includes fixed-cycle updates and on-demand updates. Fixed-cycle updates correspond to quarterly community convenience activities and monthly promotional packages. On-demand updates correspond to temporary safety alerts and policy adjustment notices. Document structure includes unique identifier, publication channel, target user tags, main content, applicable service area, and effective time period fields. Some documents include associated gas service parameter fields.
What constraints these characteristics impose on vector models and indexing
Format differences across multi-channel sources require preprocessing steps to unify field formats, preventing vector calculation bias. The periodic update feature requires indexes to support incremental synchronization, avoiding resource waste from full index rebuilds. Structured fields such as applicable service area, effective time period, and target users must be jointly indexed with text vectors, otherwise non-matching content cannot be filtered. Attached service parameters must be included in the vectorization context to ensure matching between recalled content and associated services.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
vector_model_name | text-embedding-3-large | Adapts to the semantic complexity of gas marketing copy, supports fused vectorization of structured fields and text |
index_chunk_size | 800–1200 characters | Matches the typical length range of gas marketing copy, avoids losing semantic associations from overly short splits, and reduces computational load from overly long splits |
structured_filter_enabled | Enabled | Supports joint filtering of service_area, valid_period, target_demographic fields, to accurately match target users and service areas |
incremental_index_trigger | Triggered by data update timestamp | Adapts to on-demand updated marketing content, avoids redundant calculations and resource consumption from full indexing |
recall_top_k | Top 10 results | Balances recall accuracy and system response speed, controls the input scale for subsequent reranking steps |
vector_similarity_threshold | 0.75–0.85 | Filters low-correlation recall results, adapts to the semantic matching accuracy requirements of gas marketing content |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, 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 mistakes
- Phenomenon: The number of index entries in a specified dataset increases without manual operation, and a single original index becomes multiple indexes. Cause:
incremental_index_triggeris not configured to trigger by update timestamp. The system defaults to full synchronization of data sources, resulting in repeated indexing of already processed marketing content. - Phenomenon: The service becomes unresponsive when calling
text-embedding-3-large, and the service fails to recover after restarting with the model configuration commented out. Cause: Theindex_timeoutparameter is not set, causing vector calculation tasks to block indefinitely, and residual tasks are not cleaned up. - Phenomenon: Recall results include marketing content across service areas, and cannot accurately match local users. Cause:
structured_filter_enabledis not enabled, and theservice_areafield is not included in the joint indexing rules.
How to confirm the configuration is correct
- View the
index_chunk_sizeparameter in the index management interface, confirm that the value falls within the range specified in the configuration table. - Submit a new marketing content piece, wait for indexing to complete, then perform a retrieval operation to verify that only content within the current effective time period is recalled.
- Simulate a cross-service area retrieval request, verify that recall results automatically filter out non-target area copy.
- Check system logs, confirm that only content with an update timestamp later than the last index is incrementally synchronized, with no duplicate index entries.
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.