What This Category of Data Looks Like
Data sources for this category include State-owned Assets Supervision and Administration Commission investment supervision systems, enterprise ERP and project management systems, industry market data, audit and financial statements. Data updates follow a quarterly schedule. Daily supporting documents include annual investment plans, project proposals, feasibility study reports, due diligence reports, asset appraisal reports, and post-investment evaluation reports. Data fields include project number, investment amount, project initiation approval nodes, post-investment operation indicators, and others. Units include ten thousand yuan, calendar days, and other standard units. Field dimensions vary across different documents. Extract data according to the specifications of the corresponding business documents.
Constraints Imposed on Deployment and Upgrade by This Category’s Data Characteristics
This category’s data characteristics impose multiple constraints on the deployment and upgrade process. The quarterly update frequency requires knowledge base synchronization tasks to adapt to bulk data refresh loads. Adjustable scheduled synchronization cycle configurations must be reserved. Multi-source system data requires adaptation to different interface formats. Flexible data access rule configurations must be supported during deployment. Documents covering the full process from project initiation to post-evaluation require the knowledge base to support parsing and sharded storage for multiple document types. This prevents large file load timeouts. Data related to state-owned assets requires compliance with data security isolation requirements during deployment. Permission control related parameters must be configured to prevent unauthorized access. Materials from investment decision-making meetings and post-investment evaluation data are closely linked in business processes. Data consistency between different modules must be ensured during deployment.
How to Set Configuration Parameters
The following configuration items follow the deployment specifications for FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PG_URL | postgresql://fastgpt:password@internal-db:5432/investment_ai | Adapts to structured business data storage for this category, supports field association queries across multiple source business systems |
REDIS_URL | redis://:cachepass@internal-redis:6379/1 | Used to cache project document metadata for high-frequency queries, adapts to the cache cycle for quarterly data updates |
DB_MAX_LINK | 20–30 connections | Matches the concurrency requirements for parallel parsing of multiple documents in this category, prevents database connection exhaustion |
STORAGE_S3_ENDPOINT | https://internal-storage.example.com | Adapts to storage needs for large-volume feasibility study reports and post-investment evaluation reports in this category, ensures data security isolation |
FE_DOMAIN | https://invest-ai.enterprise.gov.cn | Adapts to domain name configurations for internal office scenarios of state-owned enterprises and public institutions, ensures access permissions are controllable |
FILE_TOKEN_KEY | Randomly generated 32-bit secure string | Ensures access permission security for project documents, prevents unauthorized access |
Three Common Misconfigurations
- Phenomenon: After connecting a locally deployed large model, the thinking process for service consultation is always displayed, and cannot be hidden through interface settings. Cause: The model's output format configuration was not matched correctly, or the forced display logic was not disabled in system parameters.
- Phenomenon: After configuring
MONGODB_URI, knowledge base synchronization tasks frequently time out and return a 504 status code. Cause: The load for quarterly bulk data synchronization in this category was not adapted, and the concurrency limit forDB_MAX_LINKwas not adjusted. - Phenomenon: After uploading a project proposal, the knowledge base cannot extract project-specific fields. Cause: The field extraction rules for the corresponding document type were not configured, and the proprietary naming conventions for documents in this category were not adapted.
How to Verify Successful Configuration
- Run a quarterly bulk data synchronization task. Check that the synchronization task log has no connection timeout or permission error messages. Confirm that database and cache configurations are active.
- Upload a typical feasibility study report. Check that the knowledge base correctly extracts project-specific fields such as investment amount and project initiation node. Confirm that document parsing configurations adapt to this category's document structure.
- Access the configured
FE_DOMAIN. Confirm that only authorized internal IP addresses can access the system. Check that document access links generated usingFILE_TOKEN_KEYcannot be accessed by external users. - Initiate a test consultation focused on post-investment evaluation. Confirm that the model's returned results are based on uploaded project documents, with no irrelevant content. Confirm that knowledge base recall configurations are active.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.