What the data for this category looks like
Data sources for special steel marketing targeting the financial industry include customer special steel procurement requirement documents from the supply chain finance modules of financial institutions, data from the special steel production and sales modules of internal enterprise ERPs, inquiries and cooperation contracts from financial customers, industry special steel grade standard documents, and marketing material libraries for financial scenarios.
Data is divided into two categories: structured and unstructured. Structured data includes grades, specifications and dimensions, mechanical performance parameters, delivery status, etc., with units mostly being millimeters and megapascals. Unstructured data mostly consists of PDF-format product manuals and application description documents for financial scenarios.
The update rhythm is as follows: production-related data is synchronized with production batches, sales and financial customer data is updated daily, and marketing materials are adjusted as needed.
What constraints these characteristics impose on the model integration and configuration link
The mixed structured and unstructured nature of special steel data requires that both structured table parsing and unstructured document chunking rules be configured during model integration. The exclusive units for special steel parameters targeting financial scenarios require clear unit identification logic during configuration to prevent the model from confusing different expressions of the same parameter.
The requirement to bind marketing materials and professional terms requires the model to associate special steel grades with corresponding knowledge in financial supply chain scenarios, requiring scene tag mapping for the knowledge base. The frequently updated sales and financial customer data requires the knowledge base synchronization cycle to align with business rhythms to avoid the model calling outdated data.
The existence of long documents requires that context chunking be configured to adapt to the paragraph structure of special steel documents, avoiding splitting that destroys the integrity of performance parameters.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
LLM_MODEL | deepseek-chat | Adapts to model calls for the locally deployed 4.8.22 version, and supports Chinese recognition of special steel professional terms |
maxContext | 8000–16000 characters | Special steel marketing documents contain long parameter tables and application descriptions; this range preserves complete parameter group context |
PARSE_TABLE_ENABLE | Enabled | Special steel data centers on structured parameter tables; enabling this allows accurate extraction of grades and performance parameters within tables |
CHUNK_SIZE | 1000–1500 characters | The parameter descriptions for a single special steel marketing content are mostly around 800 characters; this range avoids splitting cross-parameter content |
RECALL_SIMILARITY_THRESHOLD | 0.75–0.85 | Special steel professional terms have high recognizability; a higher threshold filters irrelevant recall results |
KNOWLEDGE_SYNC_CRON | 0 0 2 * * * | Sales and financial customer data is updated daily; synchronizing daily at 2:00 AM ensures knowledge base timeliness |
The parameter values provided on this page are all 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.
Three common mistakes
- Phenomenon: After uploading a special steel product manual, the model returns a "context length exceeded" error, or recall content lacks the latter half of the parameter table. Cause: No segment parameter adapted to special steel long documents is configured, or the chunking rule fails to preserve the integrity of the parameter table.
- Phenomenon: In the locally deployed 4.8.22 version, calling the
LLM_MODELas deepseek results in interface access failure with error code 500. Cause: The API key and interface address for deepseek are not correctly configured in the local deployment configuration file. - Phenomenon: When initiating a query for special steel marketing content, the model does not automatically call the corresponding tool and returns generic general copy. Cause: Tool call configuration is not enabled, or the trigger rule is not bound to special steel professional term keywords.
How to confirm the configuration is complete
- Upload marketing documents for the special steel category, check if the parsed result completely retains the content of the structured parameter table, and verify that the table parsing configuration is correct.
- Initiate a query containing special steel professional terms, check if the model triggers tool calls according to the configuration, and verify that the tool scheduling configuration is effective.
- View the knowledge base synchronization records, confirm that the synchronization task executes according to the preset cycle, and verify that the synchronization cycle configuration aligns with the business update rhythm.
- Test uploading long documents of the corresponding category, check if the system automatically performs chunking processing, and verify that the context and segment configuration adapts to the document characteristics.
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.