What the data for this category looks like
Marketing content data for this category primarily comes from internal product databases, marketing material libraries, and after-sales operation and maintenance documents of construction machinery-related enterprises in the financial sector. Update cycles are adjusted alongside new product launches and working condition adaptation plan iterations, with no fixed schedule. Document structures fall into three categories: structured parameter tables, long-text working condition adaptation cases, and parts detail lists. Fields include rated lifting capacity, engine power, working radius, fuel consumption, and others, with units mostly tons, kilowatts, meters, liters/hour. Some materials include video scripts and dealer training presentations, primarily in PDF and Word formats, with a small number using structured Excel spreadsheets.
What constraints these characteristics impose on deployment and upgrade
The mixed document structure, non-fixed update cycles, and multi-unit fields of this category create three core constraints for deployment and upgrade of construction machinery marketing content in the financial sector. First, configure both structured parameter parsing and non-long-text parsing plugins simultaneously to adapt to the two types of customer-acquisition materials: parameter tables and working condition cases. Second, enable batch asynchronous parsing task queues to handle bulk uploaded marketing materials, and avoid single-file parsing timeouts that impact customer-acquisition content launch efficiency. Third, preset unit recognition rules to match multiple field units such as tons and kilowatts, and prevent post-parsing data unit confusion that affects marketing accuracy. Additionally, pre-configure offline mirror sources for offline deployment scenarios to support version upgrades and plugin loading in network-free environments.
Configuration Settings
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Meets upload requirements for construction machinery product manuals and working condition case PDFs with high-definition illustrations |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Satisfies parsing duration requirements for long-text working condition cases and multi-page materials |
maxContext | 800–1200 characters | Filters redundant information and focuses on core content of construction machinery parameters and scenario descriptions |
Recall Count | Top 6 entries | Balances recall coverage and retrieval accuracy of marketing content, covering three types of needs: selection, working conditions, and parts |
PARSE_STRUCTURED_TABLE | Enabled | Accurately extracts structured fields with units such as rated lifting capacity and working radius from parameter tables |
OLLAMA_API_BASE | http://Local IP:11434/v1 | Specifies the correct service access address when connecting to a locally deployed large language model |
The parameter values provided on this page are all conventional recommendations used as 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 conduct tests on your own samples before finalizing settings.
Three Common Errors
- Phenomenon: After adding the DeepSeek model deployed locally via Ollama, retrieval tests return a 500 status code or prompt model loading failure. Cause: The
OLLAMA_API_BASEparameter is not configured correctly, or the local Ollama service has not opened the corresponding port, preventing FastGPT from accessing the model service. - Phenomenon: After upgrading to version v4.9.0, document parsing and index enhancement functions cannot be enabled normally, prompting insufficient permissions. Cause: The functional permission scope of the current version is not confirmed, or relevant authorization parameters are not configured.
- Phenomenon: When using the v2 version of the Marker mirror to parse PDF documents during offline deployment, the parsed parameter tables have empty fields and missing unit information. Cause: The v2 version of the Marker mirror has insufficient parsing compatibility with structured tables with multiple units, and the parsing plugin cannot be automatically updated in an offline environment to adapt to new document formats.
How to Confirm Proper Configuration
- Upload a typical construction machinery product parameter PDF, and verify that the parameter fields and corresponding units in the parsing results are accurate.
- Initiate a bulk marketing material upload task, check that the asynchronous parsing queue runs normally with no timeout-related errors.
- After configuring a locally deployed large language model, initiate a connectivity test to confirm there are no service access exception prompts.
- View the complete version upgrade log to confirm that all mirror loading and plugin deployment steps are completed in the offline environment.
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.