What the Data for This Category Looks Like
Knowledge base data related to power grid equipment marketing for industry clients primarily comes from equipment selection manuals, technical parameter sheets, installation and commissioning guides, marketing promotional materials, and after-sales operation and maintenance documents. Update frequency adjusts with new product launches. Regular materials are updated quarterly. Document structures include standardized fields such as equipment model, rated voltage kV, rated current A, protection rating IPxx, applicable scenarios, and more. Individual document lengths range from several pages to dozens of pages. Some design drawings are stored as vector format files.
What Constraints These Characteristics Impose on Retrieval and Recall
Power grid equipment data has many structured parameters. Individual document lengths vary widely. The data also includes specific unit fields. These factors create multiple constraints for retrieval and recall. Structured parameters require precise matching. Keyword-only recall is insufficient. Field and unit information must be preserved during embedding. Segmentation of large documents must balance parameter relevance and retrieval granularity. Technical logic must not be split apart. Scenarios mixing marketing content and technical documents require differentiated recall priorities to fit different user needs. Update frequency is relatively stable, but single update document volumes are large. Processes for large file parsing and embedding must be adapted.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | top 8-12 | Power grid equipment documents have large individual content volumes. Too many recalled results increase context length. Too few fail to cover complete technical parameters and marketing selling points |
similarity threshold | 0.72-0.85 | Equipment parameter content has high similarity differentiation. Too low a threshold introduces irrelevant documents. Too high a threshold misses precisely matched technical details |
segment length | 800-1200 characters | Power grid equipment documents often include long parameter descriptions and installation steps. Too short a segmentation breaks parameter associations. Too long a segmentation fails to accurately retrieve core content |
reranked return count | top 3-5 | Scenarios mixing marketing content and technical documents use reranking to prioritize recalling the highest-matching core content. This fits the simplicity requirements of front-end display |
UPLOAD_FILE_MAX_SIZE | 500 MB | Individual power grid equipment selection manuals or design drawing files have large volumes. Upload limits must be relaxed to support complete document imports |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large PDF drawings and structured tables takes significant time. Timeout limits must be extended to avoid parsing failures |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- After upgrading to V4.14.7.1, retrieval latency for the same knowledge base increases significantly. The root cause is that full field embedding is enabled by default. No field filtering is applied for structured parameters of power grid equipment. This increases embedding computation load.
- When the front end displays retrieval results, only document content is returned. Equipment model, parameters, and other identifying names are not shown. The root cause is that the
retrieve_metadataparameter is not configured to enable metadata recall. This prevents the front end from extracting required field information for display. - When selecting a knowledge base during retrieval, no optional values appear for referenced variables. The root cause is that structured fields of power grid equipment documents (such as
设备型号) do not have metadata extraction enabled. The system cannot identify available variable fields.
How to Confirm Proper Configuration
- Upload a typical power grid equipment selection manual. Check that parsed segments retain complete parameter paragraphs and unit information.
- Submit a query containing specific equipment parameters. Verify that the number of recalled results matches the configured count and similarity threshold.
- Review retrieval result metadata fields. Confirm that structured fields such as
设备型号,额定电压kV, and额定电流Ahave been correctly extracted. - Test front-end display logic. Confirm that retrieval results are sorted by matching degree, and that full document content can be viewed via click.
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.