Knowledge Base Retrieval and Recall for Wind Power Research

What this type of data looks like

Wind power research report data is sourced from public statistics released by the China Wind Energy Association, reports from securities firms’ power equipment industry research departments, public technical documents from wind turbine manufacturers, and industry exhibition materials. Update cycles fall into three categories:

Securities firm research reports are updated quarterly or monthly
Industry dynamic data is updated monthly
Policy documents are released irregularly

Most documents are in PDF format. Their structures include abstracts, segmented industrial chain data (segments such as complete turbines, blades, towers), core indicators like installed capacity and utilization hours, and specialized professional fields including wind power installed capacity, grid-connected capacity, utilization hours, and unit cost.

What constraints do these characteristics impose on knowledge base retrieval and recall?

Wind power research reports have dense professional terminology, multiple data dimensions, and uneven update cycles. These traits create three constraints for knowledge base retrieval and recall:

Professional terms such as direct-drive permanent magnet generators and doubly-fed asynchronous generators require precise matching. The recall logic must balance keyword matching and semantic association.
Data from different sources has large differences in update frequency. An update strategy combining incremental synchronization and full synchronization must be supported.
Documents contain cross-chapter industrial chain related content. Segmented recall must retain context logic to avoid damaging data relevance after splitting.

Configuration Settings

Configuration Key	Recommended Value	Rationale
Number of Recalled Entries	`top 10-15 entries`	Wind power research reports contain multi-dimensional segmented data. Excessive results will exceed the context window, while too few results will miss relevant content from segments such as blades and towers
Similarity Threshold	`0.72-0.80`	There are many professional terms and near-synonymous expressions in wind power. This interval balances precise matching and recall coverage, avoiding missing relevant research reports
Segment Length	`800-1200 characters`	Wind power research reports often contain upstream and downstream related technical and cost data. Segments that are too long will lose context, while segments that are too short will damage logical coherence
`PARSE_FILE_TIMEOUT_SECONDS`	`120 seconds`	Long research report PDFs require parsing a large number of charts and structured tables. The default timeout period is insufficient to complete parsing
Incremental Synchronization Interval	`every 6 hours`	Balances the timeliness of industry dynamic data and system resource usage, adapting to the update cycles of securities firm research reports and industry data (both updated monthly)
Reranked Returned Entries	`top 5 entries`	Focuses on core relevant content, avoiding information overload for users due to excessive results

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

Symptom: A 500 Internal Server Error error pops up when creating a knowledge base. Cause: The UPLOAD_FILE_MAX_SIZE parameter is not configured correctly, preventing large wind power research report PDFs that exceed the threshold from being uploaded and parsed.
Symptom: Search results include research reports from other power equipment categories such as photovoltaics and energy storage. Cause: No Collection Filter Rules are configured, and the wind power research report collection is not isolated from other category collections, leading to an unexpected recall scope.
Symptom: Search results only include abstract fragments of research reports, and complete research report link content cannot be accessed. Cause: Web content crawling configuration is not enabled, or a reasonable Crawling Timeout is not set, preventing access to complete research report content in links.

How to Verify Successful Configuration

Upload a wind turbine research report PDF, check if the parsed data fields include specialized wind power fields such as installed capacity and utilization hours to confirm correct parsing format.
Run a search test, input the keyword "wind turbine tower unit cost", check if the number of recalled results matches the preset Number of Recalled Entries range, and if the similarity matches the set threshold.
Add Collection Filter Rules and run a search, verify that search results only come from the wind power research report collection, with no content from other categories mixed in.
Trigger an incremental synchronization task, check the synchronization records in the system log to confirm that the synchronization interval configuration is effective and there are no abnormal errors.

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.