What the data for this category looks like
Data for precious metals financial report analysis originates from official exchange announcements, industry association supply and demand reports, central bank reserve data, and real-time market quotes from spot trading platforms. Update cadences vary: spot price data updates daily, industry monthly supply and demand reports are released monthly, and corporate annual financial reports are disclosed quarterly. Most documents combine structured tables and text, including fields such as purity identifiers (e.g., 999 gold, 995 silver), trading units (grams/ounces, tons), inventory quantities, processing fees, and exchange rate linkages. Some long documents also include multiple attached research reports.
What constraints these characteristics impose on deployment and upgrade
The layered update cadence of precious metals data requires connecting to multiple heterogeneous data sources during deployment, and adapting to interface changes and permission adjustments for different data sources during upgrades. The structured characteristics of multiple fields and units require retaining field association logic during knowledge base parsing, and adapting to the storage and retrieval of high-dimensional vectors when upgrading embedding models. The long document and multi-attachment document structure requires configuring larger file upload and parsing timeout parameters during deployment, and rechecking parsing integrity for long text after upgrades. Additionally, precious metals data has high timeliness requirements, so scheduled synchronization tasks must be deployed. During upgrades, the synchronization interval must be adjusted to balance resource usage and data freshness.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Precious metals financial reports often include multiple industry research reports and inventory ledger attachments, so single file size is typically larger than that for general product categories |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Text parsing and structured extraction for long-term industry reports takes longer, so this setting must accommodate long document processing |
maxContext | 10000–14000 characters | Precious metals data includes multi-dimensional associated fields, so sufficient context must be retained to maintain data logical associations |
similarity_threshold | 0.72–0.78 | Keywords for specialized precious metals product categories have high similarity, so a reasonable threshold must be set to filter redundant retrieval results |
RECALL_TOP_N | Top 8 entries | The associated data density for specialized precious metals product categories is high, so excessive retrieval increases inference load |
SYNC_CRON | 0 */6 * * * | Balances the high-frequency updates of spot data and the monthly release cadence of industry reports, while balancing synchronization frequency and resource usage |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three common misconfigurations
- Issue: An error
fail to create post presigned urlappears when adding an attachment during a conversation. The cause is that after upgrading from version 4.13.0 to 4.14.3, the object storage signature key configuration was not updated synchronously, resulting in the inability to generate valid pre-signed upload links. - Issue: All model vendor icons fail to load. The cause is that the static resource path configuration was not modified synchronously after the upgrade, causing the browser to fail to retrieve icon file resources.
- Issue: Knowledge base disk usage continues to increase without limit. The cause is that automatic cleanup of expired embedding vector cache files was not configured, resulting in repeated occupation of storage resources by original files, split file chunks, and embedding vectors.
How to confirm configurations are correctly set
- Upload a standard precious metals industry financial report document, check that the parsed text fields fully retain key information such as purity and units, and verify that parsing time meets expectations.
- Initiate a knowledge base synchronization task, check that the execution interval of the synchronization log matches the configured
SYNC_CRONvalue, and verify that data source connection is working properly. - Initiate a retrieval test, check that the number of associated data entries returned and the similarity threshold meet the configured requirements, and confirm that there are no redundant or missing results.
- View server disk usage monitoring, confirm that the automatic cleanup rule for embedding vector cache is active, and avoid unlimited growth of storage resources.
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.