What the data for this category looks like
General equipment investment research data mainly comes from industry association public reports, official manufacturer product manuals, bidding announcements, patent databases, and monthly operation monitoring data collected by financial institution investment research teams. Update rhythms vary significantly: bidding announcements are updated in real time, industry reports are released quarterly or semi-annually, and manufacturer manuals are updated alongside new product iterations. Document structures include structured parameter tables (with fields such as equipment model, rated power, rotational speed), unstructured technical white papers, and long industry analysis texts. Most field units follow international standard conventions, such as kW, rpm, MPa.
What constraints these characteristics impose on deployment and upgrade
The multi-source, multi-structure nature of general equipment investment research data requires adapting parsing rules for different formats during deployment, to avoid loss of structured parameters or truncation of long texts. Differentiated synchronization strategies must be configured for data with different update rhythms. Real-time data requires high-frequency incremental synchronization, while periodic data can use a full update trigger mechanism. The high proportion of long documents requires adjusting resource allocation for parsing and recall during upgrades, to avoid timeouts or missing contextual information. The multi-field, multi-unit nature requires configuring field mapping rules during deployment, to ensure retrieval results align with financial investment research business requirements.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | General equipment technical white papers are usually lengthy, with long single-file parsing times. 600 seconds covers most long document parsing requirements |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Some manufacturer product manual collections and industry report single files have large sizes. 2000 MB meets actual scenarios for batch uploads |
maxContext | 800–1200 characters | General equipment investment research documents often contain dense parameters. 800–1200 characters fully retains contextual information for a single segment of technical parameters |
Recall Count | Top 8 results | General equipment investment research requires balancing parameter accuracy and information breadth. 8 recall results cover query needs for multi-dimensional technical parameters |
Similarity Threshold | 0.75–0.85 | Naming conventions for general equipment models and parameters have similarities. 0.75–0.85 filters low-relevance results while retaining difference information for different batches of the same model |
Incremental Sync Interval | 3600 seconds | Real-time data such as bidding announcements requires high-frequency synchronization. Industry report data can trigger full updates manually. A 1-hour interval balances real-time performance and resource usage |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material formats, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: After upgrading to v4.8.12 or later, an error
error: 2024-12-*occurs when calling knowledge base question answering. Cause: The default vector database connection parameters were not synchronized after the upgrade. Reconfigure the vector database address and access key. - Issue: A 404 status code is returned when executing the knowledge base initialization script. Cause: The static resource path changed after the upgrade, and the resource reference address in the initialization script was not updated synchronously.
- Issue: Empty fields are returned when calling a database node in a workflow. Cause: Field mapping rules for general equipment investment research data were not configured, causing retrieval results to fail to match the field format required by the business.
How to confirm configurations are set correctly
- Upload a general equipment technical white paper with more than 1000 pages, check whether the parsing task status completes within the configured
PARSE_FILE_TIMEOUT_SECONDStime limit. - Initiate a query containing equipment model and rated power, check whether the number of returned recall results matches the configured
Recall Countparameter. - Execute an incremental synchronization task, check whether real-time data completes updates within the configured
Incremental Sync Interval. - Call the database node in the workflow, check whether the returned results include preset general equipment business fields.
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.