What the data for this category looks like
Automated equipment research report data primarily comes from industry association public technical standard documents, technical white papers and new product announcements released by equipment manufacturers, industry analysis reports issued by third-party consulting institutions, and operation manuals for equipment maintenance. Updates follow the quarterly or monthly release rhythm of industry research reports, with temporary documents added when manufacturers release new products or adjust parameters. Individual document length varies widely, from hundreds of words of parameter descriptions to tens of thousands of words of in-depth analysis. Documents consistently include fields such as equipment model, rated power, operating speed, accuracy grade, applicable working conditions, and fault troubleshooting steps. Units include kW, m/min, %, MPa, and others.
What constraints do these characteristics impose on deployment and upgrade
The long document span, multiple fields and multiple units of automated equipment research reports impose constraints on document parsing and vector storage during deployment. Long documents require adjustments to parsing timeout settings to avoid parsing interruptions. Content with multiple fields and units requires configuring field extraction rules and unit compatibility handling for the vector database. The high-frequency update rhythm requires configuring incremental sync tasks during deployment to match scheduled pulls for quarterly and monthly cycles. Upgrade steps need to adapt to new equipment models and parameter fields, and synchronously update the index structure of the vector database to avoid incompatibility between old parsing logic and new documents.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600-1200 seconds | Automated equipment research reports contain tens of thousands of words of in-depth documents, requiring sufficient parsing time to avoid interruptions |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Some individual research reports have large file sizes, adapting to long document uploads |
Segment Length | 800-1200 characters | Retain complete equipment parameters and working condition descriptions when splitting long documents, avoiding truncation of key information |
Recall Count | Top 8-12 results | Professional content in equipment research reports is concentrated; excessive recall will introduce redundant information |
Similarity Threshold | 0.75-0.85 | Filter low-match non-professional content, retaining research report content related to target equipment |
Reranked Return Count | Top 3-5 results | Retain the most accurate results matching user queries after reranking |
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 individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: After deploying with Sealos, creating a knowledge base gets stuck at the index building step, and logs show vector insertion failures. Cause: The
PARSE_FILE_TIMEOUT_SECONDSvalue was not adjusted, and the default timeout period is insufficient for parsing long documents. - Issue: When switching application configurations, the mandatory global variable validation of the old application is still triggered, and an error prompt pops up on the page. Cause: The global variable cache of the old application was not cleared after switching applications, and the old validation rules were not unloaded.
- Issue: Uploaded automated equipment research report documents fail to parse, returning a
413 Request Entity Too Largeerror. Cause: TheUPLOAD_FILE_MAX_SIZEvalue was not adjusted, exceeding the default file upload limit.
How to confirm the configuration is correct
- Upload a typical automated equipment research report, check that the parsed segmented content is complete, with no key parameters truncated.
- Run a knowledge base index building task, check that the running logs have no timeout or vector insertion failure errors.
- Initiate a query containing an equipment model, verify that the number of recall results matches the configured recall count setting.
- Check the execution logs of the scheduled sync task, confirm that new research report documents were successfully pulled within the configured cycle.
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.