What the data for this category looks like
Data for this category comes from enterprise procurement platforms, public resource trading platforms, supplier databases, contract management systems, and audit issue databases, and is updated daily. Daily processed documents include procurement plans, requirement specifications, bidding documents, bid evaluation records, contracts, acceptance documents, and supplier complaint materials. Data fields cover procurement methods, budget basis, scoring rules, supplier qualifications, performance acceptance information, and more. Individual document lengths vary widely, ranging from hundreds to thousands of characters.
What constraints these characteristics impose on deployment and upgrade
Since data is updated daily, configure incremental synchronization scheduling rules during deployment. This avoids full data pulls that consume excessive server resources. Document types cover multiple business documents, with significant field differences. Support custom field extraction rules during deployment to adapt to business data from different sources. Data sources include internal systems and external public platforms. Configure security verification and permission isolation mechanisms during deployment to ensure data compliance. Individual document lengths vary widely. Adjust storage and vector processing parameters during deployment to adapt to different document lengths. This prevents exceptions during parsing or recall stages.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
MONGODB_URI | Instance address connecting to the database dedicated to state-owned and enterprise procurement business, with read-write separation parameters configured | This category of data needs to connect to multiple business systems. Dedicated instances ensure data isolation and read-write performance |
REDIS_URL | Configured as a local cache instance, with memory allocated to 4096 MB | Daily updated incremental data requires high-frequency caching. Large memory adapts to temporary storage needs for multi-document parsing |
STORAGE_S3_ENDPOINT | Endpoint address connected to the enterprise internal object storage service | Documents in this category require compliant retention. Internal storage meets data security requirements of state-owned asset supervision |
DB_MAX_LINK | Set to 200–300 | Adapts to database connection requirements for concurrent calls from multiple departments, avoiding connection exhaustion |
FE_DOMAIN | Configured as a secondary domain name of the enterprise internal portal | Ensures compliance and permission control for internal user access |
FILE_TOKEN_KEY | Configured as a key linked to the enterprise identity system | Implements identity verification for document uploads, preventing unauthorized access to business documents |
Three Common Misconfigurations
- Phenomenon: When using the FastGPT v4.17.0 upgrade script, an uncaught exception occurs when starting the container after execution, and the interface returns a 500 status code. Cause: The database permission configuration corresponding to
MONGODB_URIwas not updated synchronously, resulting in failure to connect to the business data source after the upgrade. - Phenomenon: After enabling workflow file upload, an error is reported when parsing document addresses, prompting that the file path is invalid. Cause:
STORAGE_S3_ENDPOINTwas not configured to connect to the enterprise internal storage, and the default public storage path is still used, so internal document addresses cannot be recognized. - Phenomenon: External platform calls to the chat interface experience response timeouts, with duration exceeding the preset threshold. Cause: The connection limit of
DB_MAX_LINKwas not adjusted, and concurrent requests exhausted the database connection pool, resulting in query blocking.
How to Verify Successful Configuration
- Run the incremental synchronization script, check if the cache instance corresponding to
REDIS_URLhas business data entries updated on the current day, and confirm that the cache is functional. - Upload a bidding document, verify that the extracted procurement method and budget fields match the source document after parsing via the workflow, and confirm that the field mapping configuration is correct.
- Call the chat interface from an external platform, confirm that the request can carry identity credentials normally, and verify that the verification logic of
FILE_TOKEN_KEYis effective. - View the database connection count monitoring, confirm that the current connection count does not exceed the set value of
DB_MAX_LINK, and confirm that the connection pool configuration is reasonable.
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.