What This Category of Data Looks Like
Declaration materials and file review data for power generation equipment manufacturing mainly comes from internal enterprise PDM systems, Feishu Docs, and local docx and xlsx files. Update rhythms follow project milestones: teams conduct concentrated updates before project declaration, and sync updates daily with quality inspection and operation records. Document structures include equipment model pages, technical parameter tables, approval workflow nodes, signature pages, and other elements. Fields cover rated power, service life, inspection report numbers, and similar items. Most units use specialized engineering units such as MW, hours, and pieces.
Constraints for Knowledge Base Retrieval and Recall
The declaration materials and file review data for power generation equipment manufacturing includes large volumes of structured parameter tables, long-text design descriptions, and associated equipment drawings. Retrieval processes must adapt to structured content parsing and image-associated recall. Teams archive data by project, and documents from different projects have clear boundaries. Retrieval must limit scope to avoid cross-project interference. Specialized engineering units and fields require retrieval to match unit precision, preventing recall of documents with mismatched parameters.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.72–0.85 | Adapt to parameter-based content in power generation equipment declaration materials, balance recall accuracy and coverage, and avoid mixing irrelevant documents |
limit | Top 8 entries | Balance context length and recall coverage, meet the retrieval needs of multi-document, multi-field declaration materials |
searchMode | Hybrid retrieval | Balance recall of plain text and structured tables, match the content structure of declaration materials that mix text and parameter tables |
usingReRank | Enabled | Re-rank initial recall results, correct sorting deviations during parameter matching, and improve the accuracy of file review |
datasetSearchUsingExtensionQuery | Enabled | Generate extended queries to cover synonymous expressions in declaration materials (such as "rated output" and "rated power") |
collectionIds | Collection ID archived for the current project | Limit the retrieval scope to the files and materials of the current declaration project, avoid cross-project interference |
Three Common Configuration Errors
- Phenomenon: After importing docx or excel files, retrieval results cannot match equipment parameters in the table. Cause: Teams do not configure adapted retrieval parsing for structured tables, and only process content as plain text chunks.
- Phenomenon: Retrieval results include file records from other power generation equipment projects. Cause: Teams do not specify
collectionIdsto limit retrieval scope, and default to calling full knowledge base content. - Phenomenon: After importing Feishu Docs, retrieval results only return text without associated drawing images. Cause: Teams do not enable image-associated recall configuration, and only extract text content from documents.
How to Verify Correct Configuration
- Upload an excel test file containing rated power parameters, retrieve the parameter, and confirm recall results include the correct parameter values.
- Specify the archived collection ID of the current project, retrieve files and materials under the project, and confirm recall results only include documents from the corresponding project.
- After enabling
usingReRank, compare retrieval result sorting, and confirm results with high parameter matching rank first. - Upload a Feishu Doc containing equipment drawing images, retrieve the equipment model keyword, and confirm returned results include associated image links.
The values given 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.