Model Integration and Configuration for Construction

What Data for This Category Looks Like

Marketing content data for construction machinery in the financial sector mainly comes from official financial leasing plan documents of financial institutions, promotional materials from cooperative dealers, question-and-answer records from offline customer consultations, and compliance policy update documents. The data update rhythm is triggered by the launch of new construction machinery products, adjustments to financial policies, or changes in cooperative partner requirements, with no fixed cycle.

Document structure includes three types of content: standardized financial product parameter sections, scenario-based marketing script snippets, and compliance certification descriptions. Fields include financing ratio, repayment period, equipment model, applicable working conditions, etc. Units are mostly percentage, month, ton, meter, etc. Some documents contain long-text detailed plan paragraphs.

What Constraints These Characteristics Impose on Model Integration and Configuration

The mixed document structure of standardized financial product parameters and marketing scripts requires the configuration process to balance accurate recall of financial parameters and matching of scenario-based customer acquisition content. Fields with clear units and ratios require consistent format retention to avoid chaotic parameter output from the model.

The non-fixed update rhythm requires the knowledge base synchronization configuration to support manual triggering and on-demand updates, to adapt to irregular content adjustments. Long-text detailed plan paragraphs require reasonable setup of segmentation and recall thresholds to avoid content truncation or redundancy during parsing or recall.

How to Set Configurations

Configuration Item	Recommended Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`200 MB`	Single construction machinery marketing material package from financial institutions typically does not exceed 150 MB, with reasonable redundant space reserved
`maxContext`	`8000–12000 characters`	Must accommodate both financial product parameter details and marketing script snippets to avoid context overflow
`RECALL_TOP_N`	`Top 6–8 entries`	Balances accurately matched financial parameters and relevant scenario-based marketing materials, avoids recalling too many low-relevance content
`PARSE_FILE_TIMEOUT_SECONDS`	`300 seconds`	Long-text detailed plan documents require longer processing time for parsing, avoids early timeout interrupting parsing
`SIMILARITY_THRESHOLD`	`0.72–0.85`	Financial parameters require high matching accuracy, marketing scripts can appropriately relax the threshold to cover more relevant materials
`UPLOAD_CHUNK_SIZE`	`500 characters`	Parameter paragraphs in construction machinery financial marketing documents mostly fall within the 400–600 character range, adapts to segmented parsing needs

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Configuration Errors

Symptom: connection error appears when calling the large model. Cause: Channel API access keys or upstream node addresses are not configured correctly, such as failing to fill in the correct interface address when using a custom channel.
Symptom: Knowledge base search takes more than 40 seconds. Cause: The RECALL_TOP_N and SIMILARITY_THRESHOLD parameters are not adjusted, resulting in too many low-relevance vector documents being recalled, or the cache mechanism of the local vector database is not enabled.
Symptom: The units or ratios of financial parameter content returned by the model are chaotic. Cause: Field format verification configuration is not enabled, or the segmentation length is set unreasonably, causing parameter text to be truncated and split, losing unit or ratio information.

How to Confirm the Configuration Is Complete

Upload a standard construction machinery financial marketing plan document, check whether the parsed text fully retains all financial parameter units, ratios and field information, to verify that the parsing configuration takes effect.
Initiate a mixed query containing financial parameters and marketing scenarios, verify that the number of returned results matches the RECALL_TOP_N setting, to confirm that the recall logic is working correctly.
Initiate multiple test calls, check that there are no channel configuration errors such as connection error, to confirm that the API keys and node addresses are configured correctly.
Simulate high-frequency search requests, observe changes in response time, and optimize search efficiency by adjusting SIMILARITY_THRESHOLD or RECALL_TOP_N.

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.