What the data for this category looks like
Data sources for the special steel investment research knowledge base include internal steel mill ERP production reports, industry association supply and demand briefings, downstream manufacturing enterprise purchase ledgers, and raw material trader quotation ledgers. Update frequencies vary: ERP production data is updated daily, industry supply and demand briefings are released weekly, purchase ledgers are generated in real time with orders, and process standards and research report documents are updated irregularly per project. Document structures include structured parameter tables, unstructured process descriptions, and semi-structured supply and demand comparison tables. Fields cover yield strength, tensile strength, billet specifications, factory batch numbers, and more, with corresponding units such as megapascals, millimeters, and others.
Constraints Imposed on Vector Models and Indexing
The multi-source heterogeneous data characteristics of the special steel knowledge base impose multiple constraints on the vector models and indexing stage. Structured tables account for a large share of the data and include numerous high-precision numerical fields. Separate vector generation for structured data must be supported. Update frequencies differ widely across data sources. Flexible switching between incremental and full indexing must be accommodated. Document length varies significantly: some entries are single parameter lines, while others are dozens of pages of process standards. Balance must be struck between chunk completeness and contextual relevance. Some fields have strong professional attributes. Embedding models adapted for industrial data must be matched to improve recall accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Multi-Vector Support | Enabled | The special steel knowledge base contains a large amount of structured table data. When enabled, vectors can be generated for table headers and cells separately, improving the recall accuracy of structured data |
Maximum Chunk Size | 800–1200 characters | Adapts to the length span of special steel documents, balancing chunk completeness and contextual relevance |
Maximum Paragraph Depth | 2–4 | Matches the multi-level title nesting structure of special steel documents, fully capturing hierarchical data information |
Index Dimension | 1024 or 1536 | Adapts to the standard output dimensions of mainstream industrial scene Embedding models, avoiding indexing exceptions caused by dimension mismatches |
Recall TopK | 5–8 | Focuses on the precise retrieval needs of special steel investment research, reducing interference from irrelevant results |
Incremental Index Sync Interval | 1 hour | Balances the daily update requirements of ERP data and computing resource consumption, adapting to the update rhythm of multi-source data |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to perform tests on local samples before finalizing values.
Three Common Misconfigurations
- Phenomenon: After refreshing the knowledge base page, "No available index model detected" is displayed, and model configuration and Agent testing have been completed. Cause: The selected Embedding model is not bound to the indexing link of the current knowledge base, or there is implicit blocking in the network connectivity of the model service.
- Phenomenon: Structured table data is not correctly recalled, and search results only contain scattered unstructured text. Cause: The
Multi-Vector Supportconfiguration is not enabled, so structured information of the table is not separately vectorized. - Phenomenon: An error message starting with
Invalidis returned when accessing a multimodal Embedding model. Cause: The input text length or format required by the model is not matched, or permission verification configuration for this model is not completed in the system.
How to Confirm Proper Configuration
- Navigate to the vector settings page of the knowledge base, confirm that the
Multi-Vector Supportswitch is enabled. - Upload a table document containing special steel performance parameters, check whether the parsed chunk results include independent entries for headers and cells.
- Initiate a retrieval targeting specific grade performance parameters, verify that the returned results include matching table fragments.
- View the system index monitoring panel, confirm that the number of generated vectors matches the number of uploaded documents, with no abnormal error logs.
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.