What the data for this category looks like
The data for city commercial bank marketing content comes from four main sources: internal marketing material libraries, product documents approved through compliance reviews, script templates for branch outreach, and historical script data from customer tiered operations. Update cycles adjust based on marketing milestones, new product launches, and compliance requirements. No fixed cycle exists, but updates concentrate at quarter-end, before holidays, and during product iteration periods. Most documents follow structured templates, with fields including product identifiers, return descriptions, quota ranges, applicable customer groups, and compliance reminders. Some templates include variables for customer group adaptation. Common file formats are PDF, Word, and structured JSON.
What constraints these characteristics impose on deployment and upgrade
The structured template format of city commercial bank marketing content necessitates configuring recall matching rules for variable replacement during deployment. This ensures outreach content adapts to different customer groups. Mandatory display requirements for compliance reminder fields necessitate configuring priority parameters during knowledge base recall to avoid missing compliance information. The non-fixed update cycle requires the upgrade process to support rapid replacement of material libraries, without waiting for batch synchronization tasks. Multi-format file input requires configuring parsing parameters adapted to PDF, Word, and structured JSON to ensure all marketing materials can be correctly extracted. City commercial bank outreach scenarios cover both online and offline channels. The deployment link reserves extended interfaces for channel adaptation.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | City commercial bank marketing materials include high-definition promotional materials and structured documents. 1000 MB covers most bulk upload requirements |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Marketing materials with long documents and many compliance pages take longer to parse. 600 seconds ensures complete parsing |
Segment Length | 800–1200 characters | Marketing content must retain complete product descriptions and compliance reminders. This range avoids breaking content integrity during splitting |
Recall Count | Top 8 entries | City commercial bank marketing content must balance accuracy and compliance. 8 recall results cover information needs for most marketing scenarios |
Similarity Threshold | 0.75–0.85 | This range balances relevance and compliance for marketing content, avoiding recall of irrelevant or non-compliant materials |
Reranked Return Count | Top 3 entries | Final output must focus on core marketing information. 3 reranked results ensure outreach content is concise and compliant |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Scenario: A 404 error is returned when submitting the model configuration page in FastGPT 4.9.0 after deploying the deepseek-8b model with ollama and testing via the oneapi interface. Cause: The oneapi forwarding address or key permissions are not configured correctly, so FastGPT cannot normally call the deployed model.
- Scenario: Some structured documents' compliance reminder fields are not extracted after bulk uploading city commercial bank marketing materials. Cause: The dedicated parsing switch for structured JSON is not enabled, so non-standard format templates cannot be correctly recognized.
- Scenario: The number of knowledge bases that can be created does not meet expectations, with a maximum of 30 knowledge bases unable to be exceeded. Cause: pgvector is used as the vector database, and the default configuration has a knowledge base count limit of 30. No database parameter adjustments have been made.
How to Verify Configurations Are Correct
- Upload a marketing document containing compliance reminder fields. Check if all preset fields are fully retained in the parsing result to confirm the parsing configuration meets requirements.
- Initiate a knowledge base recall test. Enter a query term related to marketing content, and verify if the number of returned results matches the preset configuration parameters.
- Call the deployed model, enter a test query statement, confirm there are no interface errors and the returned content meets expectations, to verify the model call configuration is correct.
- View the vector database connection logs, confirm there are no connection exception errors, to verify the storage configuration is active.
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.