What the data for this category looks like
The data for urban commercial bank investment research knowledge bases comes mainly from internal credit ledgers, regional economic monitoring reports, regulatory policy documents released by the central bank and banking and insurance regulatory authorities, and public industry research reports. Update rhythms vary by data type:
- Regulatory policies are updated in real time as they are issued
- Industry research reports are updated weekly
- Regional economic data is updated monthly
Document structures include long-text policy originals, industry analysis reports with structured tables, and credit business data with standardized fields. Common fields include credit limit, non-performing rate, and provision coverage ratio. Units used are mainly ten thousand yuan, percentage points, and hundred million yuan.
What constraints do these characteristics impose on deployment and upgrade
The above data characteristics create multiple constraints for deployment and upgrade workflows. The mixed structure of long text and structured documents requires configuring a longer timeout period and appropriate segmentation parameters for the parsing link. High-frequency, multi-type data updates require configuring incremental synchronization tasks and a vector database timed refresh mechanism during deployment. Compliance requirements for intranet deployment in urban commercial banks restrict cross-public network service calls. All containers must run in the same intranet segment. The upgrade process must retain original environment variable configurations to avoid loss of core parameters such as session keys.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Most investment research documents for urban commercial banks are long texts that take a long time to parse. Extending the timeout threshold prevents task interruptions |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single files such as investment research reports and credit ledgers have large sizes. Relax the upload limit to accommodate these files |
PARSE_SPLIT_MAX_LENGTH | 1000–1200 characters | Balances semantic integrity of long-text segmentation and recall accuracy, and adapts to the professional expression logic of investment research documents |
maxContext | 8000 characters | Investment research analysis requires associating multiple context segments. Retain a sufficiently long context window |
Recall Count | Top 8 entries | Urban commercial bank investment research segments focus on regional and in-house business. Highly relevant recall results can support analysis |
Similarity Threshold | 0.75–0.85 | Filters low-relevance content while covering weakly relevant valid information in targeted segments |
The parameter values provided on this page are common recommended 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 test on your own samples before finalizing the configuration.
Three common mistakes
- The symptom is that after re-pulling the v4.8.22 version image, the login interface displays
401 Unauthorized. The cause is that the original environment variableJWT_SECRETconfiguration was not retained after the image update. Inconsistent session keys prevent successful identity verification. - The symptom is that after deploying the Whisper speech model, the voice input function is unresponsive. The console returns
504 Gateway Timeout. The cause is that the Whisper container and FastGPT container were not added to the same intranet segment, causing the service call chain to time out. - The symptom is that during cluster deployment, vector database shard synchronization fails and returns a
connection refusederror. The cause is that cross-node access permissions for the vector database were not configured, and the FastGPT cluster mode configuration itemCLUSTER_ENABLEDwas not enabled.
How to confirm the configuration is correct
- Run the
docker pscommand to confirm that the FastGPT container, Whisper container (if enabled), and vector database container are all in normal running status. - Upload an urban commercial bank regional economic research report. Check that the parsing task status is completed, and the segmentation results meet the preset segmentation length requirements.
- Initiate an investment research-related query to verify that the similarity of recall results falls within the preset threshold range.
- Restart the FastGPT container, log in to the system without errors, and confirm that core configurations such as session keys have not been lost.
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.