What the Data for This Category Looks Like
Policy and regulatory basis data for commodity trading is primarily sourced from official announcements, industry regulatory documents and accompanying interpretations released by the Ministry of Commerce, General Administration of Customs, and provincial and municipal development and reform commissions. Updates have no fixed schedule, and are synchronized when new policies are released or regulatory rules are adjusted. Each policy document includes structured fields such as official document number, issuing authority, effective date, applicable commodity categories, enforcement clauses, and geographic scope. Some documents include official interpretation PDF attachments. Document structure is divided by issuing hierarchy, including general provisions, specific clauses, supplementary provisions, and other sections.
Constraints Imposed on Deployment and Upgrade by These Characteristics
Structured policy data fields require a storage engine that supports multi-dimensional retrieval during deployment. Without this, policy content matching specific categories and effective dates cannot be located quickly. No fixed update cycle requires reserving an incremental sync configuration entry, to avoid excessive system resource usage from full pull operations. Hierarchical document structure requires retaining original logic during chunking. Otherwise, association relationships between clauses will be lost during Q&A. Commodity category classification requires configuring vector database partitioning rules. This ensures retrieval results only include policy content for target categories, avoiding interference from irrelevant information.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Basis for Selection |
|---|---|---|
STORAGE_S3_ENDPOINT | http://minio.internal:9000 | Commodity policy documents include PDF attachments, which require S3-compatible storage for persistence. Intranet addresses ensure secure data access. Single attachment supports up to 1000 MB maximum. |
DB_MAX_LINK | 60–100 connections | Policy data has high concurrent retrieval and sync tasks. Reasonable connection counts ensure stable database operation. |
MONGODB_URI | mongodb://admin:password@mongodb:27017/fastgpt?authSource=admin | Policy data includes structured fields such as document numbers and effective dates. MongoDB supports efficient field indexing and retrieval. |
REDIS_URL | redis://:redis-pass@redis:6379/0 | Required to cache frequently retrieved policy Q&A pairs and vector indexes to reduce database load. Cache validity period set to 3600 seconds, matching policy update frequency. |
ROOT_KEY | Random 32-character string | Used for permission verification in the FastGPT backend, ensuring configuration security during deployment. |
FILE_TOKEN_KEY | Random string different from ROOT_KEY | Used to generate access tokens for policy document attachments, preventing unauthorized downloads. Token validity period set to 7 days. |
Three Common Misconfigurations
- Phenomenon: After configuring
STORAGE_S3_ENDPOINTas an intranet MinIO address, the system prompts a storage connection failure, and policy document attachments cannot be uploaded. Cause: MinIO intranet network interconnection configuration was not added to the Docker Compose configuration, causing the FastGPT container to be unable to access the intranet MinIO service. - Phenomenon: Retrieval returns a large amount of cross-category irrelevant content, such as searching for coal policies but returning steel-related clauses. Cause: Vector database category partitioning rules were not configured, so retrieval results were not filtered by target commodity categories.
- Phenomenon: Timeout errors occur during scheduled policy data sync, and the knowledge base does not add the latest policy content. Cause:
DB_MAX_LINKconnection count configuration was not adjusted. Concurrent sync tasks exhaust database connections, preventing normal data pulling.
How to Verify Proper Configuration
- Log in to the FastGPT backend, enter the commodity trading policy knowledge base, upload an official policy PDF, confirm successful upload and visibility in the storage management list.
- Perform a policy retrieval, enter policy keywords for a specified category, confirm returned results include matching document numbers, effective dates and clause content.
- Check the FastGPT container runtime logs, confirm that connection statuses for configuration items such as
MONGODB_URIandREDIS_URLare normal, with no error messages. - Trigger a manual sync task, wait for task completion, confirm that the latest policy data entries have been added to the knowledge base.
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.