Deployment and Upgrade for Professional Services Marketing

What the data for this category looks like

Professional services marketing content data comes from marketing materials approved through internal compliance reviews, anonymized customer service cases, standardized wealth management consultation scripts, and compliance announcements. Data updates are triggered irregularly to align with compliance requirements, new product launches, or marketing campaign activations. Most documents include fixed fields such as product compliance numbers, effective dates, and applicable customer groups. Some materials contain embedded compliance promotional images and tables. The length of individual documents varies widely, ranging from several hundred words for script prompts to several thousand words for compliance interpretation manuals.

What constraints do these characteristics impose on deployment and upgrade

The characteristics of professional services marketing content create multiple constraints for the deployment and upgrade process. Data sources are scattered across shared storage or compliance systems belonging to different departments. During deployment, configure cross-source data synchronization rules to avoid missing fixed fields such as product compliance numbers and effective dates. For upgrades, use incremental synchronization instead of full reconstruction to reduce repeated compliance review costs. Embedded images and long documents account for a large share of content, so configure parsing to support large file uploads and multimodal content parsing to prevent issues where some content cannot be recognized. Additionally, professional services content has strict compliance requirements, so update compliance verification rules synchronously during upgrades to ensure newly added content meets regulatory requirements.

Configuration settings

Configuration Item	Recommended Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`1000 MB`	Adapts to upload requirements for embedded high-definition compliance promotional images and long documents in professional services marketing content
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Meets parsing duration requirements for thousands-word compliance interpretation manuals
`Chunk Length`	`800–1200 characters`	Preserves contextual coherence for wealth management consultation scripts and compliance content
`Recall Count`	`Top 5–7 results`	Accurately matches marketing scenarios for user inquiries, avoids interference from redundant content
`Similarity Threshold`	`0.75–0.85`	Balances recall precision and coverage, prevents incorrect recall of compliance content
`Reranked Return Count`	`Top 3 results`	Simplifies marketing content output, adapts to terminal display requirements

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

Three common mistakes

Issue: A backed-up knowledge base only generates a single CSV file, and multi-attachment association relationships are lost after import. Cause: The ENABLE_MULTIFILE_BACKUP configuration item is not enabled. The default export only packages core metadata.
Issue: Some documents cannot recognize embedded images, and returns status code 413 Request Entity Too Large. Cause: The UPLOAD_FILE_MAX_SIZE configuration value is smaller than the actual size of the image file.
Issue: Cannot connect to third-party AI interfaces after startup, with error 500 Internal Server Error. Cause: The new version of AI_PROXY configuration rules are not adapted, and the ONE_API environment variable from v4.13.0 and earlier versions is still used.

How to confirm configurations are correct

Perform a knowledge base backup operation, check if the exported file includes associated metadata for multiple attachments, confirm that no content is lost when packaging into a single CSV file.
Upload a compliance marketing document containing embedded images, wait for parsing to complete, then view the preview content, confirm that image text and descriptions are correctly extracted.
Configure the third-party AI interface and initiate a test call, confirm that no 500-class errors are returned, and the interface connection is normal.
Initiate a similar content recall test, verify that the returned count and similarity match the preset Recall Count and Similarity Threshold configurations.

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.