What the data for this category looks like
New energy development internal office data comes mainly from project approval documents, on-site operation and maintenance logs, photovoltaic/wind power equipment manuals, industry compliance documents, and employee training materials. The rhythm of data updates varies significantly across scenarios: project documents update with approval and acceptance milestones, operation and maintenance logs generate and archive daily, equipment manuals revise quarterly, and compliance documents update alongside national energy policy adjustments. Most documents include fields such as project numbers, equipment models, operating parameters, and policy document numbers. Units involve professional power and energy units including megawatts, operating hours, megapascals, and kilovolts.
What constraints do these characteristics impose on the knowledge base retrieval and recall link
The multi-source heterogeneous data characteristics of new energy development require the retrieval link to support cross-document field association recall, avoiding context fragmentation caused by keyword-only matching. Frequently updated operation and maintenance logs and project documents require the retrieval pipeline to support incremental synchronization and real-time update configurations, preventing the recall of outdated data. The presence of professional fields and units requires retrieval to retain original field units during matching, avoiding recall deviations caused by unit conversion. Equipment manuals and compliance documents with a high share of long texts require the retrieval link to adapt to context association after long text chunking, preventing key parameters from being lost during splitting.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.72–0.85 | There are many professional terms in new energy, so low-match irrelevant documents must be filtered to avoid recalling unrelated operation and maintenance or project data |
limit | Top 8–12 entries | New energy data contains multi-dimensional professional parameters, so a sufficient candidate set must be retained for the reranking stage to filter results |
usingReRank | Enabled | Local matching deviations may occur after long document chunking; reranking adjusts sorting results based on semantic relevance |
datasetSearchUsingExtensionQuery | Enabled | Professional queries in new energy development scenarios often include abbreviations or short forms; optimization covers more term variants |
searchMode | Hybrid vector search + keyword search | Professional terms require keyword matching to avoid semantic loss; vector search ensures context association |
collectionIds | Collection IDs divided by business modules | Internal new energy development data is classified by modules such as projects, operation and maintenance, and compliance; specifying collections narrows the retrieval scope and improves efficiency |
Three common mistakes
- Issue: After configuring
usingReRankas enabled, the reranking result field returned by the question answering is false. Cause: The reranking model was not configured in the FastGPT backend, or the reranking model is incompatible with the currently used embedding model. - Issue: Retrieved documents fail to match new energy equipment parameters or project numbers, and the semantic matching degree with the original query is low. Cause:
datasetSearchUsingExtensionQuerywas not enabled, or custom extended queries were not configured for new energy professional terms. - Issue: In a local deployment environment, knowledge base files exceeding a specified quantity cannot be uploaded, and the upload interface reports an error "File size exceeds limit". Cause: The FastGPT local deployment file upload upper limit configuration was not adjusted, or server storage quota is insufficient.
How to confirm the configuration is complete
- Enter the knowledge base management page of FastGPT v4.17.0, check the synchronization status of the specified
collectionIdscollection, and confirm that the data has completed incremental update. - Initiate a test query containing new energy professional terms, and check whether the
similarityscore of the retrieval results falls within the preset threshold range. - View the question and answer log, confirm that the
usingReRankfield is enabled, and the reranked sorting results meet semantic relevance requirements. - Call the knowledge base variable in the workflow configuration, confirm that the bound
collectionIdscollection can be selected, and the global variable permission has been enabled.
The values provided here are common starting points and should be evaluated 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.