What Data for This Category Looks Like
Special steel-related data primarily comes from internal quality inspection documents of special steel manufacturers, transaction ledgers of industry distributors, and reports from third-party testing institutions. Documents tied to production batches are updated in real time with each shipment. Industry circulation data is updated quarterly. Third-party test reports are updated per inspection batch. Most documents consist of structured tables paired with a small amount of process descriptions. Core fields include production batch number, smelting furnace number, carbon equivalent, tensile strength, yield strength, impact energy, delivery condition, and origin. Mechanical performance indicators use megapascals and joules as units. Chemical composition is marked as mass percentage.
What Constraints Do These Characteristics Impose on Knowledge Base Retrieval and Recall
The real-time update attribute of special steel data requires the knowledge base to support incremental synchronization. This prevents content lag caused by full retransmission. The high proportion of structured fields in document structures requires the retrieval link to support precise field matching. For example, filtering by production batch number or mechanical performance range. Full-text semantic retrieval alone cannot cover these precise matching needs. The document format of short tables paired with process descriptions requires retaining complete field association during segmentation. This avoids loss of key information after splitting. Differences in data formats across multiple sources require configuring unified field mapping rules. This ensures consistent formatting for recalled content. The scenario association requirement of downstream due diligence reports requires supporting multi-field combined recall. This matches queries across different due diligence dimensions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
PARSE_SEGMENT_MAX_LENGTH | 800–1200 characters | Special steel documents are mostly short tables with process descriptions. This length retains the complete field association of single-batch quality inspection data, and avoids losing the correspondence between batches and performance indicators after splitting |
RECALL_TOP_K | Top 10–15 results | Special steel due diligence needs to cover multiple dimensions: production batches, circulation data, and test reports. Too many recalled results increase context redundancy. Too few results fail to cover all relevant information |
SIMILARITY_THRESHOLD | 0.72–0.78 | Most special steel field queries require precise matching. This threshold filters low-relevance non-target batch data, while retaining associated content from the same process and performance range |
RE_RANK_TOP_N | Top 3–5 results | Due diligence reports need to focus on core batches and key data. Retaining Top 3-5 after re-ranking ensures core information is displayed first, and avoids interference from irrelevant content |
UPLOAD_INCREMENTAL_ENABLE | Enabled | Special steel production batch data is updated in real time. Incremental synchronization reduces duplicate upload overhead, and ensures knowledge base content is synchronized with the latest shipment data |
FIELD_MAPPING_RULE | Map to unified fields by source type | Large differences exist in data formats across multiple sources. Unified field mapping ensures consistent cross-source field matching during retrieval |
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. It is recommended to test on your own samples before finalizing values.
Three Common Errors
- Phenomenon: Empty results are returned when searching for special steel data with a specific production batch number. Cause: The field-level retrieval switch is not configured, and only full-text semantic retrieval is used. This cannot precisely match structured fields such as production batch number.
- Phenomenon: Old batch quality inspection data is still recalled after the knowledge base is updated. Cause: The incremental synchronization configuration is not enabled, and only full upload is performed. Old data is not overwritten or deleted.
- Phenomenon: The association between mechanical performance and production batch number is lost after recalled documents are split. Cause: The segmentation length is set too small, which splits single-batch table data into multiple segments and destroys field association.
How to Confirm Proper Configuration
- Upload a single batch of special steel quality inspection documents, and check whether the knowledge base synchronization log displays the incremental update completion identifier.
- Initiate a query that includes structured fields, and verify that documents matching the corresponding fields can be accurately recalled.
- Adjust the segmentation length parameter, upload the same document again, and compare whether the split segments retain core field association.
- Test multi-field combined queries, and verify that retrieval requests matching multiple specified fields can be processed simultaneously.
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.