What the data for this category looks like
Oilfield engineering services policy and regulatory basis data originates from national energy regulatory authorities, petroleum and petrochemical industry associations, and internal policy compilations of their affiliated state-owned enterprises. Data updates trigger when new policies are released or existing regulations are revised, with no fixed cycle. Document structures include policy title, document number, issuing authority, effective date, applicable engineering scenarios (such as oil and gas drilling, downhole operations), clause details, and supporting technical attachments. Fields include policy code, applicable section type, compliance requirement items. Units mostly use formats such as articles, items, and dates. Some documents include PDF attachments with charts.
What constraints these characteristics impose on deployment and upgrade
Policy data includes structured metadata, unstructured text, and image attachments. During deployment, a vector store supporting metadata filtering must be configured to ensure accurate recall by engineering scenario during retrieval. Document updates have no fixed cycle, so a scheduled synchronization script must be implemented to ensure the latest policies are stored in the database promptly. An OCR parsing module must be enabled for image attachments to prevent key compliance diagrams from being unretrievable. During upgrade, existing scenario classification rules must be retained to avoid misalignment of retrieval logic for already published agents.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 300–500 records/minute | Oilfield engineering policy documents have relatively long individual lengths, so database connection pressure must be controlled during batch indexing |
MONGODB_URI | Encrypted connection string deployed on a dedicated intranet node | Policy data includes internal compliance information, so permission isolation for data transmission and access must be ensured |
REDIS_URL | Cache instance configured with 1000 MB of memory | High-frequency retrieved policy entries must be cached to reduce repeated query pressure on the vector database |
STORAGE_S3_ENDPOINT | Connect to an enterprise self-built object storage endpoint with a storage capacity of no less than 500 GB | Policy document attachments must be stored uniformly to facilitate subsequent batch updates and permission management |
FILE_TOKEN_KEY | Temporary encryption key with a validity period of no more than 24 hours | Access tokens for policy documents must be stored encrypted to prevent unauthorized attachment downloads |
Three Common Errors
- Phenomenon: Image content in some policy documents is not retrieved, and search results only display text fragments. Cause: The OCR parsing module is not enabled, or the
FILE_TOKEN_KEYconfiguration is incorrect, preventing normal reading of image attachments. - Phenomenon: After upgrading to FastGPT v4.17.0, existing agents cannot load historical policy indexes, and logs return a database connection timeout error. Cause: The database access permission configuration corresponding to
MONGODB_URIwas not updated synchronously, making the original index library inaccessible. - Phenomenon: Connection interruptions occur during batch indexing of policy documents, returning a 503 Service Unavailable status code. Cause: The
DB_MAX_LINKconfiguration value exceeds the actual connection limit of the database, causing connection pool overflow.
How to Verify Correct Configuration
- Upload a policy document containing a compliance flowchart, run a keyword search, and confirm that process nodes in the image can be retrieved normally.
- Check cache instance monitoring to confirm that high-frequency retrieved policy entries have been cached, with no direct vector database queries triggered.
- After executing the version upgrade script, access the published agent to verify that original policy search results have not changed.
- Check the storage bucket of the object storage endpoint to confirm that all policy document attachments have been successfully uploaded and can be previewed normally.
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.